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:
- d8c9dae636d787c3c15ba12d873afff0d6077003231e4b7f5bdb004a63c311c9
- Size of remote file:
- 1.06 kB
- SHA256:
- 8bcb6c9bbfbbe4d5f61725a56bfb203e85931fd44f2ce69c9ad3ba453a501cfe
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