Instructions to use cragtmp/c2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/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, "cragtmp/c2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c251df65af139362f0e74a83277c1e9486f2e25a82478f99fba915c5773bcde8
- Size of remote file:
- 420 MB
- SHA256:
- dfe15bc86c925270379b9b8a2328a6df86b492cfa57738be17d1b2b675f76d50
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