Instructions to use jeiku/gemmalora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jeiku/gemmalora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "jeiku/gemmalora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fc52fc638087858510d8b60be884eaaa61d8a8b169771be61de50ff1dbacae0
- Size of remote file:
- 629 MB
- SHA256:
- ffbced8a3653ed451a0a69c84551578aba4564b072c4324e31d82243faafe5ca
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