Instructions to use enumerator/medgemma-4b-it-cot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use enumerator/medgemma-4b-it-cot with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("enumerator/medgemma-4b-it-cot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b09c705bb79b630698545fb6593c6b93bab9527056be05ab35198c5ee492d07c
- Size of remote file:
- 33.4 MB
- SHA256:
- da0b388d2d5c9938e523ade0f9a37b4b8fb1b621c8bfd42edbb506309e93e711
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.