Instructions to use windgrin/c2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use windgrin/c2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data/LLM/Llama-3.2-11B-Vision-Instruct") model = PeftModel.from_pretrained(base_model, "windgrin/c2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 505cb0a29de6548d0909df60d52711d1435a9247215fb6361941761236d1d669
- Size of remote file:
- 839 MB
- SHA256:
- aecf8b740b23484a2eab94fcb9fd48349525ca23f84dd584ecc0589df553e4fb
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