Instructions to use chauhoang/6dc5c693-bd8b-469b-8884-71b4941f4e88 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/6dc5c693-bd8b-469b-8884-71b4941f4e88 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "chauhoang/6dc5c693-bd8b-469b-8884-71b4941f4e88") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a4dec9d102a1fc881bcc07eea4bb75904f6c8943cd922efea977a62b8d8808c
- Size of remote file:
- 6.78 kB
- SHA256:
- c7c75ace39d51aa01260eabcf89455a8393ca57bbcb4cbc8f2893bbba5818431
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