Instructions to use linger2334/google-gemma-7b-1724814320 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use linger2334/google-gemma-7b-1724814320 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b") model = PeftModel.from_pretrained(base_model, "linger2334/google-gemma-7b-1724814320") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b07879aaa64d416f0d1f947fe96d4a6f9809cbf65bf0cfb36527f2a39b62e58
- Size of remote file:
- 5.37 kB
- SHA256:
- 9d0e959cbd98f64c42a29bc7cb8a761edc2f75e8e76134ef75151bef8c0798f3
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