Instructions to use CodingBad02/chhaya-medgemma-lora-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CodingBad02/chhaya-medgemma-lora-v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/medgemma-1.5-4b-it") model = PeftModel.from_pretrained(base_model, "CodingBad02/chhaya-medgemma-lora-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 800a2813bff11fdbb9dfa69d800e36a5bf4b4fd0a5ff46252e951b036f3b1e3c
- Size of remote file:
- 33.4 MB
- SHA256:
- 1ebf1915455f8237564395182c49e3c685cfe3533b3d50ec6d49ce65ec43c32e
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