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:
- 89936c723b4433c4ee95c9739e89a13e1c6458f498cd70dd7427521a17b64a13
- Size of remote file:
- 839 MB
- SHA256:
- 1e5bb4b5e1eaf5abb9eab2768b4bcb728eb3f5bde809e8d6906229feefdc3186
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