Instructions to use cragtmp/c1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/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, "cragtmp/c1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- afe28eb13764ce9b612b047b1cd49b8972b23d8c46036ba34e83969c809f111e
- Size of remote file:
- 5.62 kB
- SHA256:
- 17ff99de5ef106f4c2d39a8d012147bd5a9aafca960f5d3bd27718a09a220e79
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