Instructions to use sting01/google-gemma-7b-1724804838 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sting01/google-gemma-7b-1724804838 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-1724804838") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6efbe115c3992d5f9fbcce66af38c1898491c0b95ab4e409f63b34f9cf2bd55f
- Size of remote file:
- 6.44 MB
- SHA256:
- 1ddcdb8896d070872f56cfb46eb55ccdcbe3f19c8be4a91e8c4e0cc5f16f1a31
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