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:
- 747ea51b149b25240a54d036f2ee41ca8eeb4ced02379a5dd1e445c68a87764a
- Size of remote file:
- 17.2 MB
- SHA256:
- cc5f21c9c4c3b2e7521cc798bd2c3bd2a6625f8421601a5952b7581fb286ad0f
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