Instructions to use windgrin/c3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use windgrin/c3 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/c3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a4c2cea051848422c16bb287333e4f22d60cdc2d9cdeaa0e6568ab5e223244f
- Size of remote file:
- 14.2 kB
- SHA256:
- b52f9a9d25563ba3e97f154f0d78aaeca1a97ec9c94cbc019f172d389b0bc5ea
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