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- Basque/.gitattributes +35 -0
- Basque/README.md +199 -0
- Basque/added_tokens.json +3 -0
- Basque/special_tokens_map.json +6 -0
- Basque/tokenizer.json +159 -0
- Basque/tokenizer_config.json +44 -0
- Basque/vocab.json +1 -0
- Cantonese/.gitattributes +35 -0
- Cantonese/README.md +199 -0
- Cantonese/added_tokens.json +3 -0
- Cantonese/special_tokens_map.json +6 -0
- Cantonese/tokenizer.json +269 -0
- Cantonese/tokenizer_config.json +44 -0
- Cantonese/vocab.json +1 -0
- Catalan/.gitattributes +35 -0
- Catalan/README.md +199 -0
- Catalan/added_tokens.json +3 -0
- Catalan/special_tokens_map.json +6 -0
- Catalan/tokenizer.json +157 -0
- Catalan/tokenizer_config.json +44 -0
- Catalan/vocab.json +1 -0
- Croatian/.gitattributes +35 -0
- Croatian/README.md +199 -0
- Croatian/added_tokens.json +3 -0
- Croatian/special_tokens_map.json +6 -0
- Croatian/tokenizer.json +152 -0
- Croatian/tokenizer_config.json +44 -0
- Croatian/vocab.json +1 -0
- Danish/.gitattributes +35 -0
- Danish/README.md +199 -0
- Danish/added_tokens.json +3 -0
- Danish/special_tokens_map.json +6 -0
- Danish/tokenizer.json +172 -0
- Danish/tokenizer_config.json +44 -0
- Danish/vocab.json +1 -0
- Dutch/.gitattributes +35 -0
- Dutch/README.md +199 -0
- Dutch/added_tokens.json +3 -0
- Dutch/special_tokens_map.json +6 -0
- Dutch/tokenizer.json +167 -0
- Dutch/tokenizer_config.json +44 -0
- Dutch/vocab.json +1 -0
- EnglishUK/.gitattributes +35 -0
- EnglishUK/README.md +199 -0
- EnglishUK/added_tokens.json +3 -0
- EnglishUK/special_tokens_map.json +6 -0
- EnglishUK/tokenizer.json +168 -0
- EnglishUK/tokenizer_config.json +44 -0
- EnglishUK/vocab.json +1 -0
- Estonian/.gitattributes +35 -0
Basque/.gitattributes
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Basque/README.md
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| 1 |
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---
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| 2 |
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library_name: transformers
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| 3 |
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tags: []
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| 4 |
+
---
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| 5 |
+
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| 6 |
+
# Model Card for Model ID
|
| 7 |
+
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| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
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| 10 |
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| 11 |
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| 12 |
+
## Model Details
|
| 13 |
+
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| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
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| 18 |
+
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
|
| 19 |
+
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| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
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| 22 |
+
- **Shared by [optional]:** [More Information Needed]
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| 23 |
+
- **Model type:** [More Information Needed]
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| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
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| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
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| 30 |
+
<!-- Provide the basic links for the model. -->
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| 31 |
+
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| 32 |
+
- **Repository:** [More Information Needed]
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| 33 |
+
- **Paper [optional]:** [More Information Needed]
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| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
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| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
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### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
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| 62 |
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[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
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| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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| 67 |
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| 68 |
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
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| 70 |
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## How to Get Started with the Model
|
| 71 |
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| 72 |
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Use the code below to get started with the model.
|
| 73 |
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| 74 |
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[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
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| 77 |
+
|
| 78 |
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### Training Data
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| 79 |
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| 80 |
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
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| 82 |
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[More Information Needed]
|
| 83 |
+
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| 84 |
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### Training Procedure
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| 85 |
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| 86 |
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
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| 88 |
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#### Preprocessing [optional]
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| 89 |
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| 90 |
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[More Information Needed]
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| 91 |
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|
| 92 |
+
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| 93 |
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#### Training Hyperparameters
|
| 94 |
+
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| 95 |
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
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|
| 97 |
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#### Speeds, Sizes, Times [optional]
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| 98 |
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| 99 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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| 100 |
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| 101 |
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[More Information Needed]
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| 102 |
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| 103 |
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## Evaluation
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| 104 |
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| 105 |
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<!-- This section describes the evaluation protocols and provides the results. -->
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| 106 |
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| 107 |
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### Testing Data, Factors & Metrics
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| 108 |
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| 109 |
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#### Testing Data
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| 110 |
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|
| 111 |
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<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
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| 113 |
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[More Information Needed]
|
| 114 |
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| 115 |
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#### Factors
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| 116 |
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| 117 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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| 118 |
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| 119 |
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[More Information Needed]
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| 120 |
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| 121 |
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#### Metrics
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| 122 |
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| 123 |
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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| 124 |
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| 125 |
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[More Information Needed]
|
| 126 |
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| 127 |
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### Results
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| 128 |
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| 129 |
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[More Information Needed]
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| 130 |
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| 131 |
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#### Summary
|
| 132 |
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| 133 |
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| 134 |
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| 135 |
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## Model Examination [optional]
|
| 136 |
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| 137 |
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<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
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| 139 |
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[More Information Needed]
|
| 140 |
+
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| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
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| 147 |
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- **Hardware Type:** [More Information Needed]
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| 148 |
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- **Hours used:** [More Information Needed]
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| 149 |
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- **Cloud Provider:** [More Information Needed]
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| 150 |
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- **Compute Region:** [More Information Needed]
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| 151 |
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- **Carbon Emitted:** [More Information Needed]
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| 152 |
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| 153 |
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## Technical Specifications [optional]
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| 154 |
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| 155 |
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### Model Architecture and Objective
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| 156 |
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| 157 |
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[More Information Needed]
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| 158 |
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| 159 |
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### Compute Infrastructure
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| 160 |
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| 161 |
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[More Information Needed]
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| 162 |
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| 163 |
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#### Hardware
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| 164 |
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| 165 |
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[More Information Needed]
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| 166 |
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| 167 |
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#### Software
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| 168 |
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| 169 |
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[More Information Needed]
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| 170 |
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| 171 |
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## Citation [optional]
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| 172 |
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| 173 |
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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| 174 |
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| 175 |
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**BibTeX:**
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| 176 |
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| 177 |
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[More Information Needed]
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| 178 |
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| 179 |
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**APA:**
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| 180 |
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| 181 |
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[More Information Needed]
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| 182 |
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| 183 |
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## Glossary [optional]
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| 184 |
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|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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| 186 |
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| 187 |
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[More Information Needed]
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| 188 |
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| 189 |
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## More Information [optional]
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| 190 |
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| 191 |
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[More Information Needed]
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| 192 |
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| 193 |
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## Model Card Authors [optional]
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| 194 |
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| 195 |
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[More Information Needed]
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| 196 |
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| 197 |
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## Model Card Contact
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| 198 |
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| 199 |
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[More Information Needed]
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Basque/added_tokens.json
ADDED
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{
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"<|endoftext|>": 44
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}
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Basque/special_tokens_map.json
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{
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"bos_token": "UTT_BOUNDARY",
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"eos_token": "UTT_BOUNDARY",
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"pad_token": "PAD",
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"unk_token": "UNK"
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}
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Basque/tokenizer.json
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|
| 1 |
+
{
|
| 2 |
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"version": "1.0",
|
| 3 |
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"truncation": null,
|
| 4 |
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|
| 5 |
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|
| 6 |
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{
|
| 7 |
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"id": 0,
|
| 8 |
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"content": "UNK",
|
| 9 |
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"single_word": false,
|
| 10 |
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"lstrip": false,
|
| 11 |
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"rstrip": false,
|
| 12 |
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"normalized": false,
|
| 13 |
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"special": true
|
| 14 |
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},
|
| 15 |
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{
|
| 16 |
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"id": 1,
|
| 17 |
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"content": "PAD",
|
| 18 |
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|
| 19 |
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|
| 20 |
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"rstrip": false,
|
| 21 |
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"normalized": false,
|
| 22 |
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"special": true
|
| 23 |
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},
|
| 24 |
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{
|
| 25 |
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"id": 2,
|
| 26 |
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"content": "WORD_BOUNDARY",
|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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},
|
| 33 |
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{
|
| 34 |
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"id": 3,
|
| 35 |
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"content": "UTT_BOUNDARY",
|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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"special": true
|
| 41 |
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}
|
| 42 |
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],
|
| 43 |
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"normalizer": {
|
| 44 |
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"type": "Sequence",
|
| 45 |
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"normalizers": [
|
| 46 |
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{
|
| 47 |
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"type": "Strip",
|
| 48 |
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"strip_left": true,
|
| 49 |
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"strip_right": true
|
| 50 |
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}
|
| 51 |
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]
|
| 52 |
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},
|
| 53 |
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|
| 54 |
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"type": "Whitespace"
|
| 55 |
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|
| 56 |
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|
| 57 |
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"type": "TemplateProcessing",
|
| 58 |
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| 59 |
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{
|
| 60 |
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|
| 61 |
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"id": "UTT_BOUNDARY",
|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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{
|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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{
|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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}
|
| 97 |
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],
|
| 98 |
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"special_tokens": {
|
| 99 |
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|
| 100 |
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"id": "UTT_BOUNDARY",
|
| 101 |
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"ids": [
|
| 102 |
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|
| 103 |
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],
|
| 104 |
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"tokens": [
|
| 105 |
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"UTT_BOUNDARY"
|
| 106 |
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]
|
| 107 |
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}
|
| 108 |
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}
|
| 109 |
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},
|
| 110 |
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"decoder": null,
|
| 111 |
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"model": {
|
| 112 |
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"type": "WordLevel",
|
| 113 |
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"vocab": {
|
| 114 |
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"UNK": 0,
|
| 115 |
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"PAD": 1,
|
| 116 |
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"WORD_BOUNDARY": 2,
|
| 117 |
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|
| 118 |
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"b": 4,
|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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"t̺s̺": 10,
|
| 125 |
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"i": 11,
|
| 126 |
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|
| 127 |
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"a": 13,
|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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"o": 20,
|
| 135 |
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"r": 21,
|
| 136 |
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"t̪": 22,
|
| 137 |
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"u": 23,
|
| 138 |
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"n": 24,
|
| 139 |
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"m": 25,
|
| 140 |
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"ð": 26,
|
| 141 |
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|
| 142 |
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"β": 28,
|
| 143 |
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"ʎ": 29,
|
| 144 |
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"ɡ": 30,
|
| 145 |
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"ɣ": 31,
|
| 146 |
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"au̯": 32,
|
| 147 |
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"c": 33,
|
| 148 |
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"j": 34,
|
| 149 |
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"d̪": 35,
|
| 150 |
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"ʃ": 36,
|
| 151 |
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"ɲ": 37,
|
| 152 |
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"f": 38,
|
| 153 |
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"eu̯": 39,
|
| 154 |
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"θ": 40,
|
| 155 |
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"x": 41
|
| 156 |
+
},
|
| 157 |
+
"unk_token": "UNK"
|
| 158 |
+
}
|
| 159 |
+
}
|
Basque/tokenizer_config.json
ADDED
|
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "UNK",
|
| 6 |
+
"lstrip": false,
|
| 7 |
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"normalized": false,
|
| 8 |
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"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
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"1": {
|
| 13 |
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"content": "PAD",
|
| 14 |
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"lstrip": false,
|
| 15 |
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"normalized": false,
|
| 16 |
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"rstrip": false,
|
| 17 |
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"single_word": false,
|
| 18 |
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"special": true
|
| 19 |
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},
|
| 20 |
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"2": {
|
| 21 |
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"content": "WORD_BOUNDARY",
|
| 22 |
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"lstrip": false,
|
| 23 |
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"normalized": false,
|
| 24 |
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"rstrip": false,
|
| 25 |
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"single_word": false,
|
| 26 |
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"special": true
|
| 27 |
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},
|
| 28 |
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"3": {
|
| 29 |
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"content": "UTT_BOUNDARY",
|
| 30 |
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"lstrip": false,
|
| 31 |
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"normalized": false,
|
| 32 |
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"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
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"special": true
|
| 35 |
+
}
|
| 36 |
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},
|
| 37 |
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"bos_token": "UTT_BOUNDARY",
|
| 38 |
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"clean_up_tokenization_spaces": true,
|
| 39 |
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"eos_token": "UTT_BOUNDARY",
|
| 40 |
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"model_max_length": 1000000000000000019884624838656,
|
| 41 |
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"pad_token": "PAD",
|
| 42 |
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"tokenizer_class": "GPT2Tokenizer",
|
| 43 |
+
"unk_token": "UNK"
|
| 44 |
+
}
|
Basque/vocab.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"UNK":0,"PAD":1,"WORD_BOUNDARY":2,"UTT_BOUNDARY":3,"b":4,"ai̯":5,"e":6,"s̪̻":7,"ɟ":8,"ei̯":9,"t̺s̺":10,"i":11,"oi̯":12,"a":13,"ɾ":14,"k":15,"t̠ʃ":16,"s̺":17,"l":18,"p":19,"o":20,"r":21,"t̪":22,"u":23,"n":24,"m":25,"ð":26,"t̪̻s̪̻":27,"β":28,"ʎ":29,"ɡ":30,"ɣ":31,"au̯":32,"c":33,"j":34,"d̪":35,"ʃ":36,"ɲ":37,"f":38,"eu̯":39,"θ":40,"x":41}
|
Cantonese/.gitattributes
ADDED
|
@@ -0,0 +1,35 @@
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|
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|
| 1 |
+
*.7z filter=lfs diff=lfs merge=lfs -text
|
| 2 |
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*.arrow filter=lfs diff=lfs merge=lfs -text
|
| 3 |
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|
| 4 |
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|
| 5 |
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*.ckpt filter=lfs diff=lfs merge=lfs -text
|
| 6 |
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*.ftz filter=lfs diff=lfs merge=lfs -text
|
| 7 |
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*.gz filter=lfs diff=lfs merge=lfs -text
|
| 8 |
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*.h5 filter=lfs diff=lfs merge=lfs -text
|
| 9 |
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*.joblib filter=lfs diff=lfs merge=lfs -text
|
| 10 |
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*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
| 11 |
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*.mlmodel filter=lfs diff=lfs merge=lfs -text
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| 12 |
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*.model filter=lfs diff=lfs merge=lfs -text
|
| 13 |
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*.msgpack filter=lfs diff=lfs merge=lfs -text
|
| 14 |
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*.npy filter=lfs diff=lfs merge=lfs -text
|
| 15 |
+
*.npz filter=lfs diff=lfs merge=lfs -text
|
| 16 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
| 17 |
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*.ot filter=lfs diff=lfs merge=lfs -text
|
| 18 |
+
*.parquet filter=lfs diff=lfs merge=lfs -text
|
| 19 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 20 |
+
*.pickle filter=lfs diff=lfs merge=lfs -text
|
| 21 |
+
*.pkl filter=lfs diff=lfs merge=lfs -text
|
| 22 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 23 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 24 |
+
*.rar filter=lfs diff=lfs merge=lfs -text
|
| 25 |
+
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 26 |
+
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
| 27 |
+
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
| 28 |
+
*.tar filter=lfs diff=lfs merge=lfs -text
|
| 29 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
| 30 |
+
*.tgz filter=lfs diff=lfs merge=lfs -text
|
| 31 |
+
*.wasm filter=lfs diff=lfs merge=lfs -text
|
| 32 |
+
*.xz filter=lfs diff=lfs merge=lfs -text
|
| 33 |
+
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
+
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
Cantonese/README.md
ADDED
|
@@ -0,0 +1,199 @@
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|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
tags: []
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
Cantonese/added_tokens.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<|endoftext|>": 154
|
| 3 |
+
}
|
Cantonese/special_tokens_map.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
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|
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|
| 1 |
+
{
|
| 2 |
+
"bos_token": "UTT_BOUNDARY",
|
| 3 |
+
"eos_token": "UTT_BOUNDARY",
|
| 4 |
+
"pad_token": "PAD",
|
| 5 |
+
"unk_token": "UNK"
|
| 6 |
+
}
|
Cantonese/tokenizer.json
ADDED
|
@@ -0,0 +1,269 @@
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|
| 1 |
+
{
|
| 2 |
+
"version": "1.0",
|
| 3 |
+
"truncation": null,
|
| 4 |
+
"padding": null,
|
| 5 |
+
"added_tokens": [
|
| 6 |
+
{
|
| 7 |
+
"id": 0,
|
| 8 |
+
"content": "UNK",
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"lstrip": false,
|
| 11 |
+
"rstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"special": true
|
| 14 |
+
},
|
| 15 |
+
{
|
| 16 |
+
"id": 1,
|
| 17 |
+
"content": "PAD",
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"normalized": false,
|
| 22 |
+
"special": true
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"id": 2,
|
| 26 |
+
"content": "WORD_BOUNDARY",
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"lstrip": false,
|
| 29 |
+
"rstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"special": true
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"id": 3,
|
| 35 |
+
"content": "UTT_BOUNDARY",
|
| 36 |
+
"single_word": false,
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"rstrip": false,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"special": true
|
| 41 |
+
}
|
| 42 |
+
],
|
| 43 |
+
"normalizer": {
|
| 44 |
+
"type": "Sequence",
|
| 45 |
+
"normalizers": [
|
| 46 |
+
{
|
| 47 |
+
"type": "Strip",
|
| 48 |
+
"strip_left": true,
|
| 49 |
+
"strip_right": true
|
| 50 |
+
}
|
| 51 |
+
]
|
| 52 |
+
},
|
| 53 |
+
"pre_tokenizer": {
|
| 54 |
+
"type": "WhitespaceSplit"
|
| 55 |
+
},
|
| 56 |
+
"post_processor": {
|
| 57 |
+
"type": "TemplateProcessing",
|
| 58 |
+
"single": [
|
| 59 |
+
{
|
| 60 |
+
"SpecialToken": {
|
| 61 |
+
"id": "UTT_BOUNDARY",
|
| 62 |
+
"type_id": 0
|
| 63 |
+
}
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"Sequence": {
|
| 67 |
+
"id": "A",
|
| 68 |
+
"type_id": 0
|
| 69 |
+
}
|
| 70 |
+
}
|
| 71 |
+
],
|
| 72 |
+
"pair": [
|
| 73 |
+
{
|
| 74 |
+
"SpecialToken": {
|
| 75 |
+
"id": "UTT_BOUNDARY",
|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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{
|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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{
|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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"id": "UTT_BOUNDARY",
|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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| 109 |
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| 110 |
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|
| 111 |
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| 112 |
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|
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| 132 |
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| 140 |
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| 141 |
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| 142 |
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| 143 |
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| 147 |
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| 148 |
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| 149 |
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| 150 |
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| 152 |
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| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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|
| 157 |
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|
| 158 |
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| 161 |
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| 162 |
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| 163 |
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| 164 |
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| 165 |
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| 166 |
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| 167 |
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| 187 |
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|
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|
| 232 |
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|
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|
| 235 |
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|
| 236 |
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|
| 237 |
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|
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|
| 239 |
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|
| 240 |
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|
| 241 |
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|
| 242 |
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|
| 243 |
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|
| 244 |
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|
| 245 |
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|
| 247 |
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|
| 249 |
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|
| 250 |
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|
| 251 |
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|
| 252 |
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|
| 253 |
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|
| 254 |
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|
| 255 |
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|
| 256 |
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|
| 257 |
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"aːŭ˨": 143,
|
| 258 |
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"ɪ̞˧": 144,
|
| 259 |
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|
| 260 |
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|
| 261 |
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"iːŭ˨": 147,
|
| 262 |
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"ɵ˧˩̰": 148,
|
| 263 |
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"uːĭ˧˩̰": 149,
|
| 264 |
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"u˩˧": 150,
|
| 265 |
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"ŋ˧˩̰": 151
|
| 266 |
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},
|
| 267 |
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"unk_token": "UNK"
|
| 268 |
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}
|
| 269 |
+
}
|
Cantonese/tokenizer_config.json
ADDED
|
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "UNK",
|
| 6 |
+
"lstrip": false,
|
| 7 |
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"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"1": {
|
| 13 |
+
"content": "PAD",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"2": {
|
| 21 |
+
"content": "WORD_BOUNDARY",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"3": {
|
| 29 |
+
"content": "UTT_BOUNDARY",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
}
|
| 36 |
+
},
|
| 37 |
+
"bos_token": "UTT_BOUNDARY",
|
| 38 |
+
"clean_up_tokenization_spaces": true,
|
| 39 |
+
"eos_token": "UTT_BOUNDARY",
|
| 40 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 41 |
+
"pad_token": "PAD",
|
| 42 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 43 |
+
"unk_token": "UNK"
|
| 44 |
+
}
|
Cantonese/vocab.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"UNK":0,"PAD":1,"WORD_BOUNDARY":2,"UTT_BOUNDARY":3,"j":4,"ɐ˥":5,"t":6,"k":7,"ɐu˧˥":8,"i˨":9,"n":10,"i˧˩̰":11,"y˨":12,"s":13,"ɐ˨":14,"p":15,"ts":16,"ɐu˥":17,"ɪ̞˧˥":18,"ŋ":19,"ɵ˧":20,"a̞˧":21,"l":22,"ʊ̟˥":23,"a̞˧˩̰":24,"ɛ˥":25,"ei˩˧":26,"w":27,"a̞˨":28,"ɐi˧˥":29,"a̞˧˥":30,"m̩˧˥":31,"m":32,"ou˥":33,"ei˥":34,"i˧":35,"ɔ̽˧˥":36,"tʰ":37,"i˥":38,"f":39,"aːĭ˧":40,"h":41,"ɵy˧":42,"a̞˥":43,"ei˧˩̰":44,"ou˨":45,"ɔ̽˧":46,"ɐi˧˩̰":47,"u˧":48,"ɔːĭ˥":49,"ɐu˨":50,"ei˧˥":51,"ɐi˨":52,"ʊ̟˧˩̰":53,"ʊ̟˨":54,"a̞˩˧":55,"ou˧˥":56,"aːĭ˧˥":57,"ɔ̽˨":58,"ɛ˩˧":59,"ɪ̞˨":60,"iːŭ˧":61,"ɛ˧˩̰":62,"m̩˧˩̰":63,"ɵ˧˥":64,"ei˧":65,"ɐu˧˩̰":66,"m̩˧":67,"ɐ˧˥":68,"ɐu˩˧":69,"ɐi˥":70,"ɔ̽˥":71,"ɔ̽˧˩̰":72,"ɔːĭ˧":73,"ou˩˧":74,"m̩˥":75,"ɐ˧":76,"tsʰ":77,"ɛ˧˥":78,"i˧˥":79,"ɔ̽˩˧":80,"kʰ":81,"ɐ˧˩̰":82,"aːŭ˧˥":83,"pʰ":84,"aːĭ˧˩̰":85,"ɵy˩˧":86,"ɛ˧":87,"u˧˥":88,"ɛ˨":89,"ʊ̟˧":90,"u˥":91,"m̩˩˧":92,"aːŭ˧":93,"œ̞˩˧":94,"i˩˧":95,"ɪ̞˧˩̰":96,"u˨":97,"ɪ̞˥":98,"iːŭ˧˩̰":99,"œ̞˧˥":100,"y˧":101,"uːĭ˩˧":102,"uːĭ˥":103,"ɵy˧˥":104,"y˧˩̰":105,"ɔːĭ˧˥":106,"ɛ":107,"ou˧":108,"ei˨":109,"ɵ˥":110,"u˧˩̰":111,"y˥":112,"œ̞˥":113,"œ̞˧˩̰":114,"aːĭ˨":115,"ɐ˩˧":116,"œ̞˧":117,"uːĭ˧˥":118,"ɐu˧":119,"ɐi˩˧":120,"ɐi˧":121,"ou˧˩̰":122,"aːĭ˥":123,"aːŭ˥":124,"ŋ˩˧":125,"y˧˥":126,"iːŭ˥":127,"ɔːĭ˨":128,"ʊ̟˧˥":129,"iːŭ˧˥":130,"ɵy˥":131,"ɔːĭ˧˩̰":132,"uːĭ˧":133,"ɵy˧˩̰":134,"œ̞˨":135,"m̩˨":136,"aːŭ˧˩̰":137,"y˩˧":138,"aːŭ˩˧":139,"aːĭ˩˧":140,"uːĭ˨":141,"ɵy˨":142,"aːŭ˨":143,"ɪ̞˧":144,"ɵ˨":145,"iːŭ˩˧":146,"iːŭ˨":147,"ɵ˧˩̰":148,"uːĭ˧˩̰":149,"u˩˧":150,"ŋ˧˩̰":151}
|
Catalan/.gitattributes
ADDED
|
@@ -0,0 +1,35 @@
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| 1 |
+
*.7z filter=lfs diff=lfs merge=lfs -text
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| 2 |
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*.arrow filter=lfs diff=lfs merge=lfs -text
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| 3 |
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*.bin filter=lfs diff=lfs merge=lfs -text
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*.bz2 filter=lfs diff=lfs merge=lfs -text
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*.ckpt filter=lfs diff=lfs merge=lfs -text
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| 6 |
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*.ftz filter=lfs diff=lfs merge=lfs -text
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| 7 |
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*.gz filter=lfs diff=lfs merge=lfs -text
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| 8 |
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*.h5 filter=lfs diff=lfs merge=lfs -text
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| 9 |
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*.joblib filter=lfs diff=lfs merge=lfs -text
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| 10 |
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*.lfs.* filter=lfs diff=lfs merge=lfs -text
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| 11 |
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*.mlmodel filter=lfs diff=lfs merge=lfs -text
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| 12 |
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*.model filter=lfs diff=lfs merge=lfs -text
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*.msgpack filter=lfs diff=lfs merge=lfs -text
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| 14 |
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*.npy filter=lfs diff=lfs merge=lfs -text
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| 15 |
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*.npz filter=lfs diff=lfs merge=lfs -text
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| 16 |
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*.onnx filter=lfs diff=lfs merge=lfs -text
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| 17 |
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*.ot filter=lfs diff=lfs merge=lfs -text
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| 18 |
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*.parquet filter=lfs diff=lfs merge=lfs -text
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| 19 |
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*.pb filter=lfs diff=lfs merge=lfs -text
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| 20 |
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*.pickle filter=lfs diff=lfs merge=lfs -text
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| 21 |
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*.pkl filter=lfs diff=lfs merge=lfs -text
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| 22 |
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*.pt filter=lfs diff=lfs merge=lfs -text
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| 23 |
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*.pth filter=lfs diff=lfs merge=lfs -text
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| 24 |
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*.rar filter=lfs diff=lfs merge=lfs -text
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| 25 |
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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| 26 |
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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| 27 |
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*.tar.* filter=lfs diff=lfs merge=lfs -text
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| 28 |
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*.tar filter=lfs diff=lfs merge=lfs -text
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| 29 |
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*.tgz filter=lfs diff=lfs merge=lfs -text
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| 31 |
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*.xz filter=lfs diff=lfs merge=lfs -text
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| 33 |
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*.zip filter=lfs diff=lfs merge=lfs -text
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| 34 |
+
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
Catalan/README.md
ADDED
|
@@ -0,0 +1,199 @@
|
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|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
tags: []
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
Catalan/added_tokens.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<|endoftext|>": 45
|
| 3 |
+
}
|
Catalan/special_tokens_map.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "UTT_BOUNDARY",
|
| 3 |
+
"eos_token": "UTT_BOUNDARY",
|
| 4 |
+
"pad_token": "PAD",
|
| 5 |
+
"unk_token": "UNK"
|
| 6 |
+
}
|
Catalan/tokenizer.json
ADDED
|
@@ -0,0 +1,157 @@
|
|
|
|
|
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|
|
| 1 |
+
{
|
| 2 |
+
"version": "1.0",
|
| 3 |
+
"truncation": null,
|
| 4 |
+
"padding": null,
|
| 5 |
+
"added_tokens": [
|
| 6 |
+
{
|
| 7 |
+
"id": 0,
|
| 8 |
+
"content": "UNK",
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"lstrip": false,
|
| 11 |
+
"rstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"special": true
|
| 14 |
+
},
|
| 15 |
+
{
|
| 16 |
+
"id": 1,
|
| 17 |
+
"content": "PAD",
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"normalized": false,
|
| 22 |
+
"special": true
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"id": 2,
|
| 26 |
+
"content": "WORD_BOUNDARY",
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"lstrip": false,
|
| 29 |
+
"rstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"special": true
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"id": 3,
|
| 35 |
+
"content": "UTT_BOUNDARY",
|
| 36 |
+
"single_word": false,
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"rstrip": false,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"special": true
|
| 41 |
+
}
|
| 42 |
+
],
|
| 43 |
+
"normalizer": {
|
| 44 |
+
"type": "Sequence",
|
| 45 |
+
"normalizers": [
|
| 46 |
+
{
|
| 47 |
+
"type": "Strip",
|
| 48 |
+
"strip_left": true,
|
| 49 |
+
"strip_right": true
|
| 50 |
+
}
|
| 51 |
+
]
|
| 52 |
+
},
|
| 53 |
+
"pre_tokenizer": {
|
| 54 |
+
"type": "Whitespace"
|
| 55 |
+
},
|
| 56 |
+
"post_processor": {
|
| 57 |
+
"type": "TemplateProcessing",
|
| 58 |
+
"single": [
|
| 59 |
+
{
|
| 60 |
+
"SpecialToken": {
|
| 61 |
+
"id": "UTT_BOUNDARY",
|
| 62 |
+
"type_id": 0
|
| 63 |
+
}
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"Sequence": {
|
| 67 |
+
"id": "A",
|
| 68 |
+
"type_id": 0
|
| 69 |
+
}
|
| 70 |
+
}
|
| 71 |
+
],
|
| 72 |
+
"pair": [
|
| 73 |
+
{
|
| 74 |
+
"SpecialToken": {
|
| 75 |
+
"id": "UTT_BOUNDARY",
|
| 76 |
+
"type_id": 0
|
| 77 |
+
}
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"Sequence": {
|
| 81 |
+
"id": "A",
|
| 82 |
+
"type_id": 0
|
| 83 |
+
}
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"SpecialToken": {
|
| 87 |
+
"id": "UTT_BOUNDARY",
|
| 88 |
+
"type_id": 0
|
| 89 |
+
}
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"Sequence": {
|
| 93 |
+
"id": "B",
|
| 94 |
+
"type_id": 1
|
| 95 |
+
}
|
| 96 |
+
}
|
| 97 |
+
],
|
| 98 |
+
"special_tokens": {
|
| 99 |
+
"UTT_BOUNDARY": {
|
| 100 |
+
"id": "UTT_BOUNDARY",
|
| 101 |
+
"ids": [
|
| 102 |
+
3
|
| 103 |
+
],
|
| 104 |
+
"tokens": [
|
| 105 |
+
"UTT_BOUNDARY"
|
| 106 |
+
]
|
| 107 |
+
}
|
| 108 |
+
}
|
| 109 |
+
},
|
| 110 |
+
"decoder": null,
|
| 111 |
+
"model": {
|
| 112 |
+
"type": "WordLevel",
|
| 113 |
+
"vocab": {
|
| 114 |
+
"UNK": 0,
|
| 115 |
+
"PAD": 1,
|
| 116 |
+
"WORD_BOUNDARY": 2,
|
| 117 |
+
"UTT_BOUNDARY": 3,
|
| 118 |
+
"a": 4,
|
| 119 |
+
"w": 5,
|
| 120 |
+
"ɛ": 6,
|
| 121 |
+
"ə": 7,
|
| 122 |
+
"ð": 8,
|
| 123 |
+
"t̪": 9,
|
| 124 |
+
"j": 10,
|
| 125 |
+
"i": 11,
|
| 126 |
+
"ɔ": 12,
|
| 127 |
+
"n̺": 13,
|
| 128 |
+
"z̺": 14,
|
| 129 |
+
"d̪": 15,
|
| 130 |
+
"s̺": 16,
|
| 131 |
+
"β": 17,
|
| 132 |
+
"m": 18,
|
| 133 |
+
"e": 19,
|
| 134 |
+
"f": 20,
|
| 135 |
+
"ɾ̺": 21,
|
| 136 |
+
"r̺": 22,
|
| 137 |
+
"u̯": 23,
|
| 138 |
+
"k": 24,
|
| 139 |
+
"u": 25,
|
| 140 |
+
"b": 26,
|
| 141 |
+
"p": 27,
|
| 142 |
+
"ɣ": 28,
|
| 143 |
+
"ɡ": 29,
|
| 144 |
+
"ŋ": 30,
|
| 145 |
+
"o": 31,
|
| 146 |
+
"ɫ̺": 32,
|
| 147 |
+
"ɲ̟": 33,
|
| 148 |
+
"ʒ": 34,
|
| 149 |
+
"ʃ": 35,
|
| 150 |
+
"ʎ̟": 36,
|
| 151 |
+
"t̠ʃ": 37,
|
| 152 |
+
"d̠ʒ": 38,
|
| 153 |
+
"ts̺": 39
|
| 154 |
+
},
|
| 155 |
+
"unk_token": "UNK"
|
| 156 |
+
}
|
| 157 |
+
}
|
Catalan/tokenizer_config.json
ADDED
|
@@ -0,0 +1,44 @@
|
|
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|
|
|
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|
|
|
|
|
|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "UNK",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"1": {
|
| 13 |
+
"content": "PAD",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"2": {
|
| 21 |
+
"content": "WORD_BOUNDARY",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"3": {
|
| 29 |
+
"content": "UTT_BOUNDARY",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
}
|
| 36 |
+
},
|
| 37 |
+
"bos_token": "UTT_BOUNDARY",
|
| 38 |
+
"clean_up_tokenization_spaces": true,
|
| 39 |
+
"eos_token": "UTT_BOUNDARY",
|
| 40 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 41 |
+
"pad_token": "PAD",
|
| 42 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 43 |
+
"unk_token": "UNK"
|
| 44 |
+
}
|
Catalan/vocab.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"UNK":0,"PAD":1,"WORD_BOUNDARY":2,"UTT_BOUNDARY":3,"a":4,"w":5,"ɛ":6,"ə":7,"ð":8,"t̪":9,"j":10,"i":11,"ɔ":12,"n̺":13,"z̺":14,"d̪":15,"s̺":16,"β":17,"m":18,"e":19,"f":20,"ɾ̺":21,"r̺":22,"u̯":23,"k":24,"u":25,"b":26,"p":27,"ɣ":28,"ɡ":29,"ŋ":30,"o":31,"ɫ̺":32,"ɲ̟":33,"ʒ":34,"ʃ":35,"ʎ̟":36,"t̠ʃ":37,"d̠ʒ":38,"ts̺":39}
|
Croatian/.gitattributes
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
*.7z filter=lfs diff=lfs merge=lfs -text
|
| 2 |
+
*.arrow filter=lfs diff=lfs merge=lfs -text
|
| 3 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
| 4 |
+
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
| 5 |
+
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
| 6 |
+
*.ftz filter=lfs diff=lfs merge=lfs -text
|
| 7 |
+
*.gz filter=lfs diff=lfs merge=lfs -text
|
| 8 |
+
*.h5 filter=lfs diff=lfs merge=lfs -text
|
| 9 |
+
*.joblib filter=lfs diff=lfs merge=lfs -text
|
| 10 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
| 11 |
+
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
| 12 |
+
*.model filter=lfs diff=lfs merge=lfs -text
|
| 13 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
| 14 |
+
*.npy filter=lfs diff=lfs merge=lfs -text
|
| 15 |
+
*.npz filter=lfs diff=lfs merge=lfs -text
|
| 16 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
| 17 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
| 18 |
+
*.parquet filter=lfs diff=lfs merge=lfs -text
|
| 19 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 20 |
+
*.pickle filter=lfs diff=lfs merge=lfs -text
|
| 21 |
+
*.pkl filter=lfs diff=lfs merge=lfs -text
|
| 22 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 23 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 24 |
+
*.rar filter=lfs diff=lfs merge=lfs -text
|
| 25 |
+
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 26 |
+
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
| 27 |
+
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
| 28 |
+
*.tar filter=lfs diff=lfs merge=lfs -text
|
| 29 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
| 30 |
+
*.tgz filter=lfs diff=lfs merge=lfs -text
|
| 31 |
+
*.wasm filter=lfs diff=lfs merge=lfs -text
|
| 32 |
+
*.xz filter=lfs diff=lfs merge=lfs -text
|
| 33 |
+
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
+
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
Croatian/README.md
ADDED
|
@@ -0,0 +1,199 @@
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|
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|
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|
|
|
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|
|
|
|
|
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|
|
|
|
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|
|
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|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
tags: []
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
Croatian/added_tokens.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<|endoftext|>": 48
|
| 3 |
+
}
|
Croatian/special_tokens_map.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "UTT_BOUNDARY",
|
| 3 |
+
"eos_token": "UTT_BOUNDARY",
|
| 4 |
+
"pad_token": "PAD",
|
| 5 |
+
"unk_token": "UNK"
|
| 6 |
+
}
|
Croatian/tokenizer.json
ADDED
|
@@ -0,0 +1,152 @@
|
|
|
|
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|
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|
|
|
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|
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|
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|
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|
| 1 |
+
{
|
| 2 |
+
"version": "1.0",
|
| 3 |
+
"truncation": null,
|
| 4 |
+
"padding": null,
|
| 5 |
+
"added_tokens": [
|
| 6 |
+
{
|
| 7 |
+
"id": 0,
|
| 8 |
+
"content": "UNK",
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"lstrip": false,
|
| 11 |
+
"rstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"special": true
|
| 14 |
+
},
|
| 15 |
+
{
|
| 16 |
+
"id": 1,
|
| 17 |
+
"content": "PAD",
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"normalized": false,
|
| 22 |
+
"special": true
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"id": 2,
|
| 26 |
+
"content": "WORD_BOUNDARY",
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"lstrip": false,
|
| 29 |
+
"rstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"special": true
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"id": 3,
|
| 35 |
+
"content": "UTT_BOUNDARY",
|
| 36 |
+
"single_word": false,
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"rstrip": false,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"special": true
|
| 41 |
+
}
|
| 42 |
+
],
|
| 43 |
+
"normalizer": {
|
| 44 |
+
"type": "Sequence",
|
| 45 |
+
"normalizers": [
|
| 46 |
+
{
|
| 47 |
+
"type": "Strip",
|
| 48 |
+
"strip_left": true,
|
| 49 |
+
"strip_right": true
|
| 50 |
+
}
|
| 51 |
+
]
|
| 52 |
+
},
|
| 53 |
+
"pre_tokenizer": {
|
| 54 |
+
"type": "Whitespace"
|
| 55 |
+
},
|
| 56 |
+
"post_processor": {
|
| 57 |
+
"type": "TemplateProcessing",
|
| 58 |
+
"single": [
|
| 59 |
+
{
|
| 60 |
+
"SpecialToken": {
|
| 61 |
+
"id": "UTT_BOUNDARY",
|
| 62 |
+
"type_id": 0
|
| 63 |
+
}
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"Sequence": {
|
| 67 |
+
"id": "A",
|
| 68 |
+
"type_id": 0
|
| 69 |
+
}
|
| 70 |
+
}
|
| 71 |
+
],
|
| 72 |
+
"pair": [
|
| 73 |
+
{
|
| 74 |
+
"SpecialToken": {
|
| 75 |
+
"id": "UTT_BOUNDARY",
|
| 76 |
+
"type_id": 0
|
| 77 |
+
}
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"Sequence": {
|
| 81 |
+
"id": "A",
|
| 82 |
+
"type_id": 0
|
| 83 |
+
}
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"SpecialToken": {
|
| 87 |
+
"id": "UTT_BOUNDARY",
|
| 88 |
+
"type_id": 0
|
| 89 |
+
}
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"Sequence": {
|
| 93 |
+
"id": "B",
|
| 94 |
+
"type_id": 1
|
| 95 |
+
}
|
| 96 |
+
}
|
| 97 |
+
],
|
| 98 |
+
"special_tokens": {
|
| 99 |
+
"UTT_BOUNDARY": {
|
| 100 |
+
"id": "UTT_BOUNDARY",
|
| 101 |
+
"ids": [
|
| 102 |
+
3
|
| 103 |
+
],
|
| 104 |
+
"tokens": [
|
| 105 |
+
"UTT_BOUNDARY"
|
| 106 |
+
]
|
| 107 |
+
}
|
| 108 |
+
}
|
| 109 |
+
},
|
| 110 |
+
"decoder": null,
|
| 111 |
+
"model": {
|
| 112 |
+
"type": "WordLevel",
|
| 113 |
+
"vocab": {
|
| 114 |
+
"UNK": 0,
|
| 115 |
+
"PAD": 1,
|
| 116 |
+
"WORD_BOUNDARY": 2,
|
| 117 |
+
"UTT_BOUNDARY": 3,
|
| 118 |
+
"e": 4,
|
| 119 |
+
"a": 5,
|
| 120 |
+
"u": 6,
|
| 121 |
+
"x": 7,
|
| 122 |
+
"k": 8,
|
| 123 |
+
"t̪": 9,
|
| 124 |
+
"n": 10,
|
| 125 |
+
"o": 11,
|
| 126 |
+
"d̪": 12,
|
| 127 |
+
"i": 13,
|
| 128 |
+
"r": 14,
|
| 129 |
+
"m": 15,
|
| 130 |
+
"ʃ": 16,
|
| 131 |
+
"p": 17,
|
| 132 |
+
"s": 18,
|
| 133 |
+
"ʋ": 19,
|
| 134 |
+
"j": 20,
|
| 135 |
+
"t̠ʃ": 21,
|
| 136 |
+
"l": 22,
|
| 137 |
+
"ɡ": 23,
|
| 138 |
+
"ʒ": 24,
|
| 139 |
+
"b": 25,
|
| 140 |
+
"t̪s": 26,
|
| 141 |
+
"z": 27,
|
| 142 |
+
"d̠ʒ": 28,
|
| 143 |
+
"ʎ": 29,
|
| 144 |
+
"f": 30,
|
| 145 |
+
"ɲ": 31,
|
| 146 |
+
"y": 32,
|
| 147 |
+
"q": 33,
|
| 148 |
+
"w": 34
|
| 149 |
+
},
|
| 150 |
+
"unk_token": "UNK"
|
| 151 |
+
}
|
| 152 |
+
}
|
Croatian/tokenizer_config.json
ADDED
|
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "UNK",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"1": {
|
| 13 |
+
"content": "PAD",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"2": {
|
| 21 |
+
"content": "WORD_BOUNDARY",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"3": {
|
| 29 |
+
"content": "UTT_BOUNDARY",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
}
|
| 36 |
+
},
|
| 37 |
+
"bos_token": "UTT_BOUNDARY",
|
| 38 |
+
"clean_up_tokenization_spaces": true,
|
| 39 |
+
"eos_token": "UTT_BOUNDARY",
|
| 40 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 41 |
+
"pad_token": "PAD",
|
| 42 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 43 |
+
"unk_token": "UNK"
|
| 44 |
+
}
|
Croatian/vocab.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"UNK":0,"PAD":1,"WORD_BOUNDARY":2,"UTT_BOUNDARY":3,"e":4,"a":5,"u":6,"x":7,"k":8,"t̪":9,"n":10,"o":11,"d̪":12,"i":13,"r":14,"m":15,"ʃ":16,"p":17,"s":18,"ʋ":19,"j":20,"t̠ʃ":21,"l":22,"ɡ":23,"ʒ":24,"b":25,"t̪s":26,"z":27,"d̠ʒ":28,"ʎ":29,"f":30,"ɲ":31,"y":32,"q":33,"w":34}
|
Danish/.gitattributes
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
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|
|
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| 1 |
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*.7z filter=lfs diff=lfs merge=lfs -text
|
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*.arrow filter=lfs diff=lfs merge=lfs -text
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*.bin filter=lfs diff=lfs merge=lfs -text
|
| 4 |
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*.bz2 filter=lfs diff=lfs merge=lfs -text
|
| 5 |
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*.ckpt filter=lfs diff=lfs merge=lfs -text
|
| 6 |
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*.ftz filter=lfs diff=lfs merge=lfs -text
|
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*.gz filter=lfs diff=lfs merge=lfs -text
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*.h5 filter=lfs diff=lfs merge=lfs -text
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| 9 |
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*.joblib filter=lfs diff=lfs merge=lfs -text
|
| 10 |
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*.lfs.* filter=lfs diff=lfs merge=lfs -text
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*.mlmodel filter=lfs diff=lfs merge=lfs -text
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*.model filter=lfs diff=lfs merge=lfs -text
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*.msgpack filter=lfs diff=lfs merge=lfs -text
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*.npy filter=lfs diff=lfs merge=lfs -text
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*.npz filter=lfs diff=lfs merge=lfs -text
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*.onnx filter=lfs diff=lfs merge=lfs -text
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*.ot filter=lfs diff=lfs merge=lfs -text
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*.parquet filter=lfs diff=lfs merge=lfs -text
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pickle filter=lfs diff=lfs merge=lfs -text
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*.pkl filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.rar filter=lfs diff=lfs merge=lfs -text
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*.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 26 |
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.tar.* filter=lfs diff=lfs merge=lfs -text
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*.tar filter=lfs diff=lfs merge=lfs -text
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*.tflite filter=lfs diff=lfs merge=lfs -text
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*.tgz filter=lfs diff=lfs merge=lfs -text
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*.wasm filter=lfs diff=lfs merge=lfs -text
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| 32 |
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*.xz filter=lfs diff=lfs merge=lfs -text
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| 33 |
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*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
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*.zst filter=lfs diff=lfs merge=lfs -text
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| 35 |
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*tfevents* filter=lfs diff=lfs merge=lfs -text
|
Danish/README.md
ADDED
|
@@ -0,0 +1,199 @@
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|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
tags: []
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
Danish/added_tokens.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<|endoftext|>": 47
|
| 3 |
+
}
|
Danish/special_tokens_map.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "UTT_BOUNDARY",
|
| 3 |
+
"eos_token": "UTT_BOUNDARY",
|
| 4 |
+
"pad_token": "PAD",
|
| 5 |
+
"unk_token": "UNK"
|
| 6 |
+
}
|
Danish/tokenizer.json
ADDED
|
@@ -0,0 +1,172 @@
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"version": "1.0",
|
| 3 |
+
"truncation": null,
|
| 4 |
+
"padding": null,
|
| 5 |
+
"added_tokens": [
|
| 6 |
+
{
|
| 7 |
+
"id": 0,
|
| 8 |
+
"content": "UNK",
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"lstrip": false,
|
| 11 |
+
"rstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"special": true
|
| 14 |
+
},
|
| 15 |
+
{
|
| 16 |
+
"id": 1,
|
| 17 |
+
"content": "PAD",
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"normalized": false,
|
| 22 |
+
"special": true
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"id": 2,
|
| 26 |
+
"content": "WORD_BOUNDARY",
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"lstrip": false,
|
| 29 |
+
"rstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"special": true
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"id": 3,
|
| 35 |
+
"content": "UTT_BOUNDARY",
|
| 36 |
+
"single_word": false,
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"rstrip": false,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"special": true
|
| 41 |
+
}
|
| 42 |
+
],
|
| 43 |
+
"normalizer": {
|
| 44 |
+
"type": "Sequence",
|
| 45 |
+
"normalizers": [
|
| 46 |
+
{
|
| 47 |
+
"type": "Strip",
|
| 48 |
+
"strip_left": true,
|
| 49 |
+
"strip_right": true
|
| 50 |
+
}
|
| 51 |
+
]
|
| 52 |
+
},
|
| 53 |
+
"pre_tokenizer": {
|
| 54 |
+
"type": "Whitespace"
|
| 55 |
+
},
|
| 56 |
+
"post_processor": {
|
| 57 |
+
"type": "TemplateProcessing",
|
| 58 |
+
"single": [
|
| 59 |
+
{
|
| 60 |
+
"SpecialToken": {
|
| 61 |
+
"id": "UTT_BOUNDARY",
|
| 62 |
+
"type_id": 0
|
| 63 |
+
}
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"Sequence": {
|
| 67 |
+
"id": "A",
|
| 68 |
+
"type_id": 0
|
| 69 |
+
}
|
| 70 |
+
}
|
| 71 |
+
],
|
| 72 |
+
"pair": [
|
| 73 |
+
{
|
| 74 |
+
"SpecialToken": {
|
| 75 |
+
"id": "UTT_BOUNDARY",
|
| 76 |
+
"type_id": 0
|
| 77 |
+
}
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"Sequence": {
|
| 81 |
+
"id": "A",
|
| 82 |
+
"type_id": 0
|
| 83 |
+
}
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"SpecialToken": {
|
| 87 |
+
"id": "UTT_BOUNDARY",
|
| 88 |
+
"type_id": 0
|
| 89 |
+
}
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"Sequence": {
|
| 93 |
+
"id": "B",
|
| 94 |
+
"type_id": 1
|
| 95 |
+
}
|
| 96 |
+
}
|
| 97 |
+
],
|
| 98 |
+
"special_tokens": {
|
| 99 |
+
"UTT_BOUNDARY": {
|
| 100 |
+
"id": "UTT_BOUNDARY",
|
| 101 |
+
"ids": [
|
| 102 |
+
3
|
| 103 |
+
],
|
| 104 |
+
"tokens": [
|
| 105 |
+
"UTT_BOUNDARY"
|
| 106 |
+
]
|
| 107 |
+
}
|
| 108 |
+
}
|
| 109 |
+
},
|
| 110 |
+
"decoder": null,
|
| 111 |
+
"model": {
|
| 112 |
+
"type": "WordLevel",
|
| 113 |
+
"vocab": {
|
| 114 |
+
"UNK": 0,
|
| 115 |
+
"PAD": 1,
|
| 116 |
+
"WORD_BOUNDARY": 2,
|
| 117 |
+
"UTT_BOUNDARY": 3,
|
| 118 |
+
"n": 4,
|
| 119 |
+
"oˤ": 5,
|
| 120 |
+
"t": 6,
|
| 121 |
+
"y": 7,
|
| 122 |
+
"ə": 8,
|
| 123 |
+
"ð": 9,
|
| 124 |
+
"ʁ": 10,
|
| 125 |
+
"ɑˤː": 11,
|
| 126 |
+
"s": 12,
|
| 127 |
+
"k": 13,
|
| 128 |
+
"i": 14,
|
| 129 |
+
"b": 15,
|
| 130 |
+
"eˤ": 16,
|
| 131 |
+
"t̠ʃ": 17,
|
| 132 |
+
"a": 18,
|
| 133 |
+
"l": 19,
|
| 134 |
+
"d": 20,
|
| 135 |
+
"ɡ": 21,
|
| 136 |
+
"f": 22,
|
| 137 |
+
"e": 23,
|
| 138 |
+
"ɛ": 24,
|
| 139 |
+
"r": 25,
|
| 140 |
+
"ɔ": 26,
|
| 141 |
+
"w": 27,
|
| 142 |
+
"ɔˤ": 28,
|
| 143 |
+
"m": 29,
|
| 144 |
+
"uˤ": 30,
|
| 145 |
+
"j": 31,
|
| 146 |
+
"ɑ": 32,
|
| 147 |
+
"u": 33,
|
| 148 |
+
"ɒ": 34,
|
| 149 |
+
"iˤ": 35,
|
| 150 |
+
"ʋ": 36,
|
| 151 |
+
"h": 37,
|
| 152 |
+
"œ": 38,
|
| 153 |
+
"p": 39,
|
| 154 |
+
"ɕ": 40,
|
| 155 |
+
"o": 41,
|
| 156 |
+
"ŋ": 42,
|
| 157 |
+
"ɒː": 43,
|
| 158 |
+
"aˤ": 44,
|
| 159 |
+
"ɜ": 45,
|
| 160 |
+
"œː": 46,
|
| 161 |
+
"eː": 47,
|
| 162 |
+
"aː": 48,
|
| 163 |
+
"d̠ʒ": 49,
|
| 164 |
+
"uː": 50,
|
| 165 |
+
"ɔː": 51,
|
| 166 |
+
"oː": 52,
|
| 167 |
+
"iː": 53,
|
| 168 |
+
"yː": 54
|
| 169 |
+
},
|
| 170 |
+
"unk_token": "UNK"
|
| 171 |
+
}
|
| 172 |
+
}
|
Danish/tokenizer_config.json
ADDED
|
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "UNK",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"1": {
|
| 13 |
+
"content": "PAD",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"2": {
|
| 21 |
+
"content": "WORD_BOUNDARY",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"3": {
|
| 29 |
+
"content": "UTT_BOUNDARY",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
}
|
| 36 |
+
},
|
| 37 |
+
"bos_token": "UTT_BOUNDARY",
|
| 38 |
+
"clean_up_tokenization_spaces": true,
|
| 39 |
+
"eos_token": "UTT_BOUNDARY",
|
| 40 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 41 |
+
"pad_token": "PAD",
|
| 42 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 43 |
+
"unk_token": "UNK"
|
| 44 |
+
}
|
Danish/vocab.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"UNK":0,"PAD":1,"WORD_BOUNDARY":2,"UTT_BOUNDARY":3,"n":4,"oˤ":5,"t":6,"y":7,"ə":8,"ð":9,"ʁ":10,"ɑˤː":11,"s":12,"k":13,"i":14,"b":15,"eˤ":16,"t̠ʃ":17,"a":18,"l":19,"d":20,"ɡ":21,"f":22,"e":23,"ɛ":24,"r":25,"ɔ":26,"w":27,"ɔˤ":28,"m":29,"uˤ":30,"j":31,"ɑ":32,"u":33,"ɒ":34,"iˤ":35,"ʋ":36,"h":37,"œ":38,"p":39,"ɕ":40,"o":41,"ŋ":42,"ɒː":43,"aˤ":44,"ɜ":45,"œː":46,"eː":47,"aː":48,"d̠ʒ":49,"uː":50,"ɔː":51,"oː":52,"iː":53,"yː":54}
|
Dutch/.gitattributes
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
*.7z filter=lfs diff=lfs merge=lfs -text
|
| 2 |
+
*.arrow filter=lfs diff=lfs merge=lfs -text
|
| 3 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
| 4 |
+
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
| 5 |
+
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
| 6 |
+
*.ftz filter=lfs diff=lfs merge=lfs -text
|
| 7 |
+
*.gz filter=lfs diff=lfs merge=lfs -text
|
| 8 |
+
*.h5 filter=lfs diff=lfs merge=lfs -text
|
| 9 |
+
*.joblib filter=lfs diff=lfs merge=lfs -text
|
| 10 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
| 11 |
+
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
| 12 |
+
*.model filter=lfs diff=lfs merge=lfs -text
|
| 13 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
| 14 |
+
*.npy filter=lfs diff=lfs merge=lfs -text
|
| 15 |
+
*.npz filter=lfs diff=lfs merge=lfs -text
|
| 16 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
| 17 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
| 18 |
+
*.parquet filter=lfs diff=lfs merge=lfs -text
|
| 19 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 20 |
+
*.pickle filter=lfs diff=lfs merge=lfs -text
|
| 21 |
+
*.pkl filter=lfs diff=lfs merge=lfs -text
|
| 22 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 23 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 24 |
+
*.rar filter=lfs diff=lfs merge=lfs -text
|
| 25 |
+
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 26 |
+
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
| 27 |
+
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
| 28 |
+
*.tar filter=lfs diff=lfs merge=lfs -text
|
| 29 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
| 30 |
+
*.tgz filter=lfs diff=lfs merge=lfs -text
|
| 31 |
+
*.wasm filter=lfs diff=lfs merge=lfs -text
|
| 32 |
+
*.xz filter=lfs diff=lfs merge=lfs -text
|
| 33 |
+
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
+
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
Dutch/README.md
ADDED
|
@@ -0,0 +1,199 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
|
|
|
|
|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
|
|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
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|
|
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|
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|
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|
|
|
|
|
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|
|
|
|
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|
|
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|
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|
|
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|
|
|
|
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|
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|
|
|
|
|
|
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|
|
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|
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|
|
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|
|
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|
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|
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|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
tags: []
|
| 4 |
+
---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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Dutch/added_tokens.json
ADDED
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@@ -0,0 +1,3 @@
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{
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"<|endoftext|>": 55
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}
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Dutch/special_tokens_map.json
ADDED
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{
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"bos_token": "UTT_BOUNDARY",
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"eos_token": "UTT_BOUNDARY",
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"pad_token": "PAD",
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"unk_token": "UNK"
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}
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Dutch/tokenizer.json
ADDED
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@@ -0,0 +1,167 @@
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{
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"version": "1.0",
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"truncation": null,
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"padding": null,
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"added_tokens": [
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{
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"id": 0,
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"content": "UNK",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 1,
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"content": "PAD",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 2,
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"content": "WORD_BOUNDARY",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 3,
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"content": "UTT_BOUNDARY",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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}
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],
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"normalizer": {
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"type": "Sequence",
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"normalizers": [
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{
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"type": "Strip",
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"strip_left": true,
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"strip_right": true
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}
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]
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},
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"pre_tokenizer": {
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"type": "Whitespace"
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},
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"post_processor": {
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"type": "TemplateProcessing",
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"single": [
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{
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"SpecialToken": {
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"id": "UTT_BOUNDARY",
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"type_id": 0
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}
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},
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{
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"Sequence": {
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"id": "A",
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"type_id": 0
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}
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}
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],
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"pair": [
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{
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"SpecialToken": {
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"id": "UTT_BOUNDARY",
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"type_id": 0
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+
}
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+
},
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+
{
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| 80 |
+
"Sequence": {
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| 81 |
+
"id": "A",
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| 82 |
+
"type_id": 0
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| 83 |
+
}
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+
},
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+
{
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+
"SpecialToken": {
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+
"id": "UTT_BOUNDARY",
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| 88 |
+
"type_id": 0
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| 89 |
+
}
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+
},
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+
{
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| 92 |
+
"Sequence": {
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| 93 |
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"id": "B",
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+
"type_id": 1
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+
}
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| 96 |
+
}
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| 97 |
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],
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"special_tokens": {
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+
"UTT_BOUNDARY": {
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| 100 |
+
"id": "UTT_BOUNDARY",
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| 101 |
+
"ids": [
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+
3
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| 103 |
+
],
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"tokens": [
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+
"UTT_BOUNDARY"
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+
]
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+
}
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+
}
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+
},
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+
"decoder": null,
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| 111 |
+
"model": {
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| 112 |
+
"type": "WordLevel",
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+
"vocab": {
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| 114 |
+
"UNK": 0,
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+
"PAD": 1,
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| 116 |
+
"WORD_BOUNDARY": 2,
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| 117 |
+
"UTT_BOUNDARY": 3,
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+
"z": 4,
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+
"oː": 5,
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+
"j": 6,
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+
"ãː": 7,
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+
"ɦ": 8,
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+
"ɾ": 9,
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+
"d": 10,
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"i": 11,
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+
"ɛ": 12,
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+
"p": 13,
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+
"ɪ": 14,
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+
"k": 15,
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"ɑ": 16,
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"l": 17,
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"ɛː": 18,
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"n": 19,
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"s": 20,
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"v": 21,
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"ə": 22,
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"ɛi": 23,
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"ʋ": 24,
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"t": 25,
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"m": 26,
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"ɣ": 27,
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+
"ʏ": 28,
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"ɔ": 29,
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"x": 30,
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"u": 31,
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"f": 32,
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"ŋ": 33,
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"øː": 34,
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"b": 35,
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"ɔː": 36,
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"ʌu": 37,
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"y": 38,
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"œy": 39,
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"tʲ": 40,
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"w": 41,
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"ʃ": 42,
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"t̠ʃ": 43,
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"ɲ": 44,
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"ʒ": 45,
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"iː": 46,
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| 161 |
+
"ɡ": 47,
|
| 162 |
+
"d̠ʒ": 48,
|
| 163 |
+
"ã": 49
|
| 164 |
+
},
|
| 165 |
+
"unk_token": "UNK"
|
| 166 |
+
}
|
| 167 |
+
}
|
Dutch/tokenizer_config.json
ADDED
|
@@ -0,0 +1,44 @@
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|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "UNK",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"1": {
|
| 13 |
+
"content": "PAD",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"2": {
|
| 21 |
+
"content": "WORD_BOUNDARY",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"3": {
|
| 29 |
+
"content": "UTT_BOUNDARY",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
}
|
| 36 |
+
},
|
| 37 |
+
"bos_token": "UTT_BOUNDARY",
|
| 38 |
+
"clean_up_tokenization_spaces": true,
|
| 39 |
+
"eos_token": "UTT_BOUNDARY",
|
| 40 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 41 |
+
"pad_token": "PAD",
|
| 42 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 43 |
+
"unk_token": "UNK"
|
| 44 |
+
}
|
Dutch/vocab.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"UNK":0,"PAD":1,"WORD_BOUNDARY":2,"UTT_BOUNDARY":3,"z":4,"oː":5,"j":6,"ãː":7,"ɦ":8,"ɾ":9,"d":10,"i":11,"ɛ":12,"p":13,"ɪ":14,"k":15,"ɑ":16,"l":17,"ɛː":18,"n":19,"s":20,"v":21,"ə":22,"ɛi":23,"ʋ":24,"t":25,"m":26,"ɣ":27,"ʏ":28,"ɔ":29,"x":30,"u":31,"f":32,"ŋ":33,"øː":34,"b":35,"ɔː":36,"ʌu":37,"y":38,"œy":39,"tʲ":40,"w":41,"ʃ":42,"t̠ʃ":43,"ɲ":44,"ʒ":45,"iː":46,"ɡ":47,"d̠ʒ":48,"ã":49}
|
EnglishUK/.gitattributes
ADDED
|
@@ -0,0 +1,35 @@
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|
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|
| 1 |
+
*.7z filter=lfs diff=lfs merge=lfs -text
|
| 2 |
+
*.arrow filter=lfs diff=lfs merge=lfs -text
|
| 3 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
| 4 |
+
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
| 5 |
+
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
| 6 |
+
*.ftz filter=lfs diff=lfs merge=lfs -text
|
| 7 |
+
*.gz filter=lfs diff=lfs merge=lfs -text
|
| 8 |
+
*.h5 filter=lfs diff=lfs merge=lfs -text
|
| 9 |
+
*.joblib filter=lfs diff=lfs merge=lfs -text
|
| 10 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
| 11 |
+
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
| 12 |
+
*.model filter=lfs diff=lfs merge=lfs -text
|
| 13 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
| 14 |
+
*.npy filter=lfs diff=lfs merge=lfs -text
|
| 15 |
+
*.npz filter=lfs diff=lfs merge=lfs -text
|
| 16 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
| 17 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
| 18 |
+
*.parquet filter=lfs diff=lfs merge=lfs -text
|
| 19 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 20 |
+
*.pickle filter=lfs diff=lfs merge=lfs -text
|
| 21 |
+
*.pkl filter=lfs diff=lfs merge=lfs -text
|
| 22 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 23 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 24 |
+
*.rar filter=lfs diff=lfs merge=lfs -text
|
| 25 |
+
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 26 |
+
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
| 27 |
+
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
| 28 |
+
*.tar filter=lfs diff=lfs merge=lfs -text
|
| 29 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
| 30 |
+
*.tgz filter=lfs diff=lfs merge=lfs -text
|
| 31 |
+
*.wasm filter=lfs diff=lfs merge=lfs -text
|
| 32 |
+
*.xz filter=lfs diff=lfs merge=lfs -text
|
| 33 |
+
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
+
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
EnglishUK/README.md
ADDED
|
@@ -0,0 +1,199 @@
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|
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|
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|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
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|
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|
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|
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|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
tags: []
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
EnglishUK/added_tokens.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<|endoftext|>": 56
|
| 3 |
+
}
|
EnglishUK/special_tokens_map.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "UTT_BOUNDARY",
|
| 3 |
+
"eos_token": "UTT_BOUNDARY",
|
| 4 |
+
"pad_token": "PAD",
|
| 5 |
+
"unk_token": "UNK"
|
| 6 |
+
}
|
EnglishUK/tokenizer.json
ADDED
|
@@ -0,0 +1,168 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"version": "1.0",
|
| 3 |
+
"truncation": null,
|
| 4 |
+
"padding": null,
|
| 5 |
+
"added_tokens": [
|
| 6 |
+
{
|
| 7 |
+
"id": 0,
|
| 8 |
+
"content": "UNK",
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"lstrip": false,
|
| 11 |
+
"rstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"special": true
|
| 14 |
+
},
|
| 15 |
+
{
|
| 16 |
+
"id": 1,
|
| 17 |
+
"content": "PAD",
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"normalized": false,
|
| 22 |
+
"special": true
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"id": 2,
|
| 26 |
+
"content": "WORD_BOUNDARY",
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"lstrip": false,
|
| 29 |
+
"rstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"special": true
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"id": 3,
|
| 35 |
+
"content": "UTT_BOUNDARY",
|
| 36 |
+
"single_word": false,
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"rstrip": false,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"special": true
|
| 41 |
+
}
|
| 42 |
+
],
|
| 43 |
+
"normalizer": {
|
| 44 |
+
"type": "Sequence",
|
| 45 |
+
"normalizers": [
|
| 46 |
+
{
|
| 47 |
+
"type": "Strip",
|
| 48 |
+
"strip_left": true,
|
| 49 |
+
"strip_right": true
|
| 50 |
+
}
|
| 51 |
+
]
|
| 52 |
+
},
|
| 53 |
+
"pre_tokenizer": {
|
| 54 |
+
"type": "Whitespace"
|
| 55 |
+
},
|
| 56 |
+
"post_processor": {
|
| 57 |
+
"type": "TemplateProcessing",
|
| 58 |
+
"single": [
|
| 59 |
+
{
|
| 60 |
+
"SpecialToken": {
|
| 61 |
+
"id": "UTT_BOUNDARY",
|
| 62 |
+
"type_id": 0
|
| 63 |
+
}
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"Sequence": {
|
| 67 |
+
"id": "A",
|
| 68 |
+
"type_id": 0
|
| 69 |
+
}
|
| 70 |
+
}
|
| 71 |
+
],
|
| 72 |
+
"pair": [
|
| 73 |
+
{
|
| 74 |
+
"SpecialToken": {
|
| 75 |
+
"id": "UTT_BOUNDARY",
|
| 76 |
+
"type_id": 0
|
| 77 |
+
}
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"Sequence": {
|
| 81 |
+
"id": "A",
|
| 82 |
+
"type_id": 0
|
| 83 |
+
}
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"SpecialToken": {
|
| 87 |
+
"id": "UTT_BOUNDARY",
|
| 88 |
+
"type_id": 0
|
| 89 |
+
}
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"Sequence": {
|
| 93 |
+
"id": "B",
|
| 94 |
+
"type_id": 1
|
| 95 |
+
}
|
| 96 |
+
}
|
| 97 |
+
],
|
| 98 |
+
"special_tokens": {
|
| 99 |
+
"UTT_BOUNDARY": {
|
| 100 |
+
"id": "UTT_BOUNDARY",
|
| 101 |
+
"ids": [
|
| 102 |
+
3
|
| 103 |
+
],
|
| 104 |
+
"tokens": [
|
| 105 |
+
"UTT_BOUNDARY"
|
| 106 |
+
]
|
| 107 |
+
}
|
| 108 |
+
}
|
| 109 |
+
},
|
| 110 |
+
"decoder": null,
|
| 111 |
+
"model": {
|
| 112 |
+
"type": "WordLevel",
|
| 113 |
+
"vocab": {
|
| 114 |
+
"UNK": 0,
|
| 115 |
+
"PAD": 1,
|
| 116 |
+
"WORD_BOUNDARY": 2,
|
| 117 |
+
"UTT_BOUNDARY": 3,
|
| 118 |
+
"ð": 4,
|
| 119 |
+
"æ": 5,
|
| 120 |
+
"tʰ": 6,
|
| 121 |
+
"ɡ": 7,
|
| 122 |
+
"ʊ": 8,
|
| 123 |
+
"d": 9,
|
| 124 |
+
"ɑː": 10,
|
| 125 |
+
"l": 11,
|
| 126 |
+
"ɪ": 12,
|
| 127 |
+
"n": 13,
|
| 128 |
+
"eɪ": 14,
|
| 129 |
+
"t̠ʃ": 15,
|
| 130 |
+
"w": 16,
|
| 131 |
+
"ɒ": 17,
|
| 132 |
+
"ʌ": 18,
|
| 133 |
+
"z": 19,
|
| 134 |
+
"m": 20,
|
| 135 |
+
"iː": 21,
|
| 136 |
+
"aɪ": 22,
|
| 137 |
+
"h": 23,
|
| 138 |
+
"e": 24,
|
| 139 |
+
"kʰ": 25,
|
| 140 |
+
"s": 26,
|
| 141 |
+
"ə": 27,
|
| 142 |
+
"ɔː": 28,
|
| 143 |
+
"ɹ": 29,
|
| 144 |
+
"i": 30,
|
| 145 |
+
"əʊ": 31,
|
| 146 |
+
"uː": 32,
|
| 147 |
+
"j": 33,
|
| 148 |
+
"ɪə": 34,
|
| 149 |
+
"ɔɪ": 35,
|
| 150 |
+
"v": 36,
|
| 151 |
+
"f": 37,
|
| 152 |
+
"ɜː": 38,
|
| 153 |
+
"b": 39,
|
| 154 |
+
"pʰ": 40,
|
| 155 |
+
"d̠ʒ": 41,
|
| 156 |
+
"ɐ": 42,
|
| 157 |
+
"eə": 43,
|
| 158 |
+
"ʃ": 44,
|
| 159 |
+
"θ": 45,
|
| 160 |
+
"ŋ": 46,
|
| 161 |
+
"aʊ": 47,
|
| 162 |
+
"ʊə": 48,
|
| 163 |
+
"n̩": 49,
|
| 164 |
+
"ʒ": 50
|
| 165 |
+
},
|
| 166 |
+
"unk_token": "UNK"
|
| 167 |
+
}
|
| 168 |
+
}
|
EnglishUK/tokenizer_config.json
ADDED
|
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "UNK",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"1": {
|
| 13 |
+
"content": "PAD",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"2": {
|
| 21 |
+
"content": "WORD_BOUNDARY",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"3": {
|
| 29 |
+
"content": "UTT_BOUNDARY",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
}
|
| 36 |
+
},
|
| 37 |
+
"bos_token": "UTT_BOUNDARY",
|
| 38 |
+
"clean_up_tokenization_spaces": true,
|
| 39 |
+
"eos_token": "UTT_BOUNDARY",
|
| 40 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 41 |
+
"pad_token": "PAD",
|
| 42 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 43 |
+
"unk_token": "UNK"
|
| 44 |
+
}
|
EnglishUK/vocab.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"UNK":0,"PAD":1,"WORD_BOUNDARY":2,"UTT_BOUNDARY":3,"ð":4,"æ":5,"tʰ":6,"ɡ":7,"ʊ":8,"d":9,"ɑː":10,"l":11,"ɪ":12,"n":13,"eɪ":14,"t̠ʃ":15,"w":16,"ɒ":17,"ʌ":18,"z":19,"m":20,"iː":21,"aɪ":22,"h":23,"e":24,"kʰ":25,"s":26,"ə":27,"ɔː":28,"ɹ":29,"i":30,"əʊ":31,"uː":32,"j":33,"ɪə":34,"ɔɪ":35,"v":36,"f":37,"ɜː":38,"b":39,"pʰ":40,"d̠ʒ":41,"ɐ":42,"eə":43,"ʃ":44,"θ":45,"ŋ":46,"aʊ":47,"ʊə":48,"n̩":49,"ʒ":50}
|
Estonian/.gitattributes
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
*.7z filter=lfs diff=lfs merge=lfs -text
|
| 2 |
+
*.arrow filter=lfs diff=lfs merge=lfs -text
|
| 3 |
+
*.bin filter=lfs diff=lfs merge=lfs -text
|
| 4 |
+
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
| 5 |
+
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
| 6 |
+
*.ftz filter=lfs diff=lfs merge=lfs -text
|
| 7 |
+
*.gz filter=lfs diff=lfs merge=lfs -text
|
| 8 |
+
*.h5 filter=lfs diff=lfs merge=lfs -text
|
| 9 |
+
*.joblib filter=lfs diff=lfs merge=lfs -text
|
| 10 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
| 11 |
+
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
| 12 |
+
*.model filter=lfs diff=lfs merge=lfs -text
|
| 13 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
| 14 |
+
*.npy filter=lfs diff=lfs merge=lfs -text
|
| 15 |
+
*.npz filter=lfs diff=lfs merge=lfs -text
|
| 16 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
| 17 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
| 18 |
+
*.parquet filter=lfs diff=lfs merge=lfs -text
|
| 19 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 20 |
+
*.pickle filter=lfs diff=lfs merge=lfs -text
|
| 21 |
+
*.pkl filter=lfs diff=lfs merge=lfs -text
|
| 22 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 23 |
+
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 24 |
+
*.rar filter=lfs diff=lfs merge=lfs -text
|
| 25 |
+
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
| 26 |
+
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
| 27 |
+
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
| 28 |
+
*.tar filter=lfs diff=lfs merge=lfs -text
|
| 29 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
| 30 |
+
*.tgz filter=lfs diff=lfs merge=lfs -text
|
| 31 |
+
*.wasm filter=lfs diff=lfs merge=lfs -text
|
| 32 |
+
*.xz filter=lfs diff=lfs merge=lfs -text
|
| 33 |
+
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
+
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
|