Instructions to use linger2334/google-gemma-7b-1724801644 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use linger2334/google-gemma-7b-1724801644 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-1724801644") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3de13cf75e8871335ac425d6323490d86df5f7fbba9ee352699afd25fa1f1af3
- Size of remote file:
- 6.44 MB
- SHA256:
- 8dcdf876c2e16b2455cba6e152a84002f85c06676092cffeb3a981fc8490462c
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