Instructions to use windgrin/c1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use windgrin/c1 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/c1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c071e3d645212d02eca0bdc0435bb0c601e5cecf8e29430fde9820afbb2b99f3
- Size of remote file:
- 14.2 kB
- SHA256:
- 5ebb68c9cebcf25f4d9105fc48b1de17738bb84a8a2a797c1d2425f25c719047
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