Instructions to use berkamphoon/medgemma-27b-it-dr3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use berkamphoon/medgemma-27b-it-dr3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("berkamphoon/medgemma-27b-it-dr3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 90beabdae3f7c3f7ead9e9a38947f7ded0dccf17014028d004f71ab28c0caefa
- Size of remote file:
- 5.82 kB
- SHA256:
- f72c66587cbb157abdbb3c9104bd1c94c5797745c2876e87d6316f0e7d900c23
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.