Instructions to use linger2334/google-gemma-7b-1724783263 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use linger2334/google-gemma-7b-1724783263 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-1724783263") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a15d4fa61dd50d6b9e9a956acf71034537243dc54d4f660eea397ffd5cdeb49
- Size of remote file:
- 6.44 MB
- SHA256:
- 3ae8571157e1472db3187d25875f9ff684e8d8906e320ce02c94b00337e65b51
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