Instructions to use linger2334/google-gemma-7b-1724794648 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use linger2334/google-gemma-7b-1724794648 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-1724794648") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5097af4016407e76f68d1e65904d21a060ad4216ad1668f97f4fa7a934e1efc2
- Size of remote file:
- 6.44 MB
- SHA256:
- 41df184083462cf7d0dff60db7827d8aabe60847496caf5206ece0c1a3e31534
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