Instructions to use KYAGABA/YOUR_NEW_NAME with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use KYAGABA/YOUR_NEW_NAME 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, "KYAGABA/YOUR_NEW_NAME") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8a4ad5f16381cd9b217606c2074c42b7e964790f50b2011c8a5ee362c0179f8
- Size of remote file:
- 5.37 kB
- SHA256:
- 7bfe59975678fc28a70cafed5969692738d2022b4065a9ab389938db6cf01034
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