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")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("IVN-RIN/medBIT") model = AutoModelForMaskedLM.from_pretrained("IVN-RIN/medBIT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65105f3e1b028f7db8f24936a34ebf81d02631dfd6ff777f57ea3d7a2a1a8634
- Size of remote file:
- 440 MB
- SHA256:
- b0aa950336c99636600d9a42dc3de0c8a27eeb02fa95e61b2cd692a1ecdf3668
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