Instructions to use chauhoang/b0760710-5585-42a9-a2ee-78e5b9d3694f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/b0760710-5585-42a9-a2ee-78e5b9d3694f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("UCLA-AGI/Gemma-2-9B-It-SPPO-Iter2") model = PeftModel.from_pretrained(base_model, "chauhoang/b0760710-5585-42a9-a2ee-78e5b9d3694f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41c4e8915654ad2fbd83ff7701bb5e18e30360c029a84e411d764049cd4dd40a
- Size of remote file:
- 6.78 kB
- SHA256:
- e0fad221496ad3625fc08469afeca4560933a97e8fe20b5e6cabc271cdc7da7c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.