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:
- 2957f3745390f5804efdf0a451591710ebcf810a36d67a3d72e7290cb832d9f5
- Size of remote file:
- 65.7 MB
- SHA256:
- 6522076cea22cc20ff3c3aaeadc88047c59c2ccb63f253110dd9f33c67fbc805
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