Instructions to use berkamphoon/medgemma-4b-it-dr8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use berkamphoon/medgemma-4b-it-dr8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("berkamphoon/medgemma-4b-it-dr8", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa9489370e591bb8dade741b3845bce82d539ccf015ffc1bcdd5b79ae72122e0
- Size of remote file:
- 33.4 MB
- SHA256:
- 1ebf1915455f8237564395182c49e3c685cfe3533b3d50ec6d49ce65ec43c32e
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