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 training_args.bin from Martingkc/MedGemma-4B-Finetune-NIH-CXR14: direct link, hf CLI and curl.
- Browser
- Download file 5.75 kB
-
https://huggingface.co/Martingkc/MedGemma-4B-Finetune-NIH-CXR14/resolve/main/training_args.bin
- Command line
-
hf download hf://Martingkc/MedGemma-4B-Finetune-NIH-CXR14/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Martingkc/MedGemma-4B-Finetune-NIH-CXR14/resolve/main/training_args.bin
5.75 kB
- Xet hash:
- 0252b91e59c520fb6fe5c94c9a5efcf00cacb349e18da298e0a79424b48f73eb
- Size of remote file:
- 5.75 kB
- SHA256:
- 2e8d7d4283dbffb71d645c91f973d85f55421c2b3b41c4fa8a969faa2fff7531
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