Instructions to use yashvshetty/clarke-medgemma-27b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yashvshetty/clarke-medgemma-27b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/medgemma-27b-text-it") model = PeftModel.from_pretrained(base_model, "yashvshetty/clarke-medgemma-27b-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b059da5683f8342952df53b9ab2238e949169c61288872c0d3ed6f18b05c402f
- Size of remote file:
- 227 MB
- SHA256:
- ba41db43936e006e0e7ce6b5776f8aff31bf4c8397bbf9e86613b2a0f6e795db
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