Instructions to use sukara13/gemma7bcars16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sukara13/gemma7bcars16 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b-it") model = PeftModel.from_pretrained(base_model, "sukara13/gemma7bcars16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 868e583d6c0cfde95dad081fb5536c98b261e793cd81e34ef3fd75343a4b2494
- Size of remote file:
- 17.5 MB
- SHA256:
- c97408e641b3b2eaf2c5b435a6983a141578e964e955b6d716919101320b0623
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