Instructions to use berkamphoon/medgemma-27b-it-dr6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use berkamphoon/medgemma-27b-it-dr6 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("berkamphoon/medgemma-27b-it-dr6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75daf58ea407791fefcd14044a30eab162f7bea045e8e00b72c85864d623fc08
- Size of remote file:
- 5.82 kB
- SHA256:
- 351b4764bb7fe2728a52c7958e6b8f91cb46b4b37000fa4572db38ed99102cd3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.