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:
- d02e3e1fc0a9b239791a40b1bbbae552b4a637e15f9cf22d9302d9090184bf89
- Size of remote file:
- 108 MB
- SHA256:
- fe79ae6d0f50e45a1f197f7710ca78e34348924c88e758a409e3bd51e18a6300
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.