Instructions to use sting01/google-gemma-7b-1724803928 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sting01/google-gemma-7b-1724803928 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b") model = PeftModel.from_pretrained(base_model, "sting01/google-gemma-7b-1724803928") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d356aaeee5ed681f59f558f2fa0756e7af4901d30b640a6caa36cc9c9af33f34
- Size of remote file:
- 6.44 MB
- SHA256:
- 14934c4a06453a0a1794b762fad378f4aa24815be9fdc6831459198e4e71f3b6
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