Automatic Speech Recognition
Transformers
Safetensors
Portuguese
wav2vec2-bert
Generated from Trainer
asr
w2v-bert-2.0
Eval Results (legacy)
Instructions to use tiagomosantos/w2v-bert-2.0-pt_pt_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tiagomosantos/w2v-bert-2.0-pt_pt_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="tiagomosantos/w2v-bert-2.0-pt_pt_v2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("tiagomosantos/w2v-bert-2.0-pt_pt_v2") model = AutoModelForCTC.from_pretrained("tiagomosantos/w2v-bert-2.0-pt_pt_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -4,12 +4,12 @@ base_model: facebook/w2v-bert-2.0
|
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
| 6 |
- asr
|
| 7 |
-
- Portugal
|
| 8 |
-
- portuguese
|
| 9 |
datasets:
|
| 10 |
- common_voice_16_1
|
| 11 |
metrics:
|
| 12 |
- wer
|
|
|
|
|
|
|
| 13 |
model-index:
|
| 14 |
- name: w2v-bert-2.0-pt_pt_v2
|
| 15 |
results:
|
|
@@ -26,6 +26,8 @@ model-index:
|
|
| 26 |
- name: Wer
|
| 27 |
type: wer
|
| 28 |
value: 0.08315087821729188
|
|
|
|
|
|
|
| 29 |
---
|
| 30 |
|
| 31 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -94,4 +96,4 @@ The following hyperparameters were used during training:
|
|
| 94 |
- Transformers 4.38.2
|
| 95 |
- Pytorch 2.2.0
|
| 96 |
- Datasets 2.18.0
|
| 97 |
-
- Tokenizers 0.15.2
|
|
|
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
| 6 |
- asr
|
|
|
|
|
|
|
| 7 |
datasets:
|
| 8 |
- common_voice_16_1
|
| 9 |
metrics:
|
| 10 |
- wer
|
| 11 |
+
- cer
|
| 12 |
+
- bertscore
|
| 13 |
model-index:
|
| 14 |
- name: w2v-bert-2.0-pt_pt_v2
|
| 15 |
results:
|
|
|
|
| 26 |
- name: Wer
|
| 27 |
type: wer
|
| 28 |
value: 0.08315087821729188
|
| 29 |
+
language:
|
| 30 |
+
- pt
|
| 31 |
---
|
| 32 |
|
| 33 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 96 |
- Transformers 4.38.2
|
| 97 |
- Pytorch 2.2.0
|
| 98 |
- Datasets 2.18.0
|
| 99 |
+
- Tokenizers 0.15.2
|