Instructions to use nickwantsone/vyrahealth-medgemma-4b-triage-nurse-production with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nickwantsone/vyrahealth-medgemma-4b-triage-nurse-production with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/medgemma-4b-it") model = PeftModel.from_pretrained(base_model, "nickwantsone/vyrahealth-medgemma-4b-triage-nurse-production") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e2cd82b60882c592fc0f0214b75ce768cf6f1cdb9541332492dead66bdc15c0
- Size of remote file:
- 12.9 MB
- SHA256:
- 48455a2683cd7ba9198760e2d66909f962970704e8e967aff1942d408361bd30
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