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:
- 189302e6d73c47731ae91caa5a185ea02ec71bb4af4936d450a5c169782d19e3
- Size of remote file:
- 134 MB
- SHA256:
- c9f2dada8376a98f5757f476cc8db6ae95aff29dac4dbeea5327e5410ff99248
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