Instructions to use IVN-RIN/medBIT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IVN-RIN/medBIT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="IVN-RIN/medBIT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("IVN-RIN/medBIT") model = AutoModelForMaskedLM.from_pretrained("IVN-RIN/medBIT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update README.md
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Adding `safetensors` variant of this model (#1)
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Create README.md
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Upload tokenizer
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Upload BertForMaskedLM
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initial commit
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