Fill-Mask
Transformers
Safetensors
English
roformer
binary-analysis
file-type-detection
byte-level
mlm
rope
magic-bytes
security
Eval Results (legacy)
Instructions to use mjbommar/magic-bert-50m-roformer-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mjbommar/magic-bert-50m-roformer-mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mjbommar/magic-bert-50m-roformer-mlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mjbommar/magic-bert-50m-roformer-mlm") model = AutoModelForMaskedLM.from_pretrained("mjbommar/magic-bert-50m-roformer-mlm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Fix tokenizer_config.json special token names
Browse files- tokenizer_config.json +8 -6
tokenizer_config.json
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{
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"tokenizer_class": "PreTrainedTokenizerFast",
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"model_max_length": 512,
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{
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"tokenizer_class": "PreTrainedTokenizerFast",
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"model_max_length": 512,
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"bos_token": "<|start|>",
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"eos_token": "<|end|>",
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"pad_token": "<|pad|>",
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"unk_token": "<|unk|>",
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"cls_token": "<|cls|>",
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"sep_token": "<|sep|>",
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"mask_token": "<|mask|>"
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}
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