Instructions to use cmcmaster/medgemma-1.5-4b-it-grpo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cmcmaster/medgemma-1.5-4b-it-grpo with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cmcmaster/medgemma-1.5-4b-it-grpo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8dcbf8cb70d384075818a564e937f63c6e34cff2932ba35e5ad416751cc0494
- Size of remote file:
- 7.89 kB
- SHA256:
- 0270960f0400ea93801b7ca3c97a689bb429a11b1db8a3879e1efe19a9c103d2
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