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:
- 045f458b5d5a2f62555bc07d9ec19f51924fcded4d87437359ef2f0b361f04a3
- Size of remote file:
- 5.37 kB
- SHA256:
- 3e4e7296fa01bdf40ede36aa7c234cbc3d33bc41dbc13ca835eeeedee35931cb
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