Instructions to use Martingkc/MedGemma-4B-Finetune-NIH-CXR14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Martingkc/MedGemma-4B-Finetune-NIH-CXR14 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Martingkc/MedGemma-4B-Finetune-NIH-CXR14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Martingkc/MedGemma-4B-Finetune-NIH-CXR14: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/Martingkc/MedGemma-4B-Finetune-NIH-CXR14/resolve/main/tokenizer.json
- Command line
-
hf download hf://Martingkc/MedGemma-4B-Finetune-NIH-CXR14/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Martingkc/MedGemma-4B-Finetune-NIH-CXR14/resolve/main/tokenizer.json
33.4 MB
- Xet hash:
- aa9489370e591bb8dade741b3845bce82d539ccf015ffc1bcdd5b79ae72122e0
- Size of remote file:
- 33.4 MB
- SHA256:
- 1ebf1915455f8237564395182c49e3c685cfe3533b3d50ec6d49ce65ec43c32e
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