Instructions to use dicta-il/BEREL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dicta-il/BEREL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dicta-il/BEREL")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dicta-il/BEREL") model = AutoModelForMaskedLM.from_pretrained("dicta-il/BEREL") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer_config.json
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
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"cls_token": "[CLS]",
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length":
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"cls_token": "[CLS]",
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 128,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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