Instructions to use cragtmp/pair1-300 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/pair1-300 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data1/chenjiazun/LLM/Llama-3.2-11B-Vision-Instruct") model = PeftModel.from_pretrained(base_model, "cragtmp/pair1-300") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2f94c3e14dfd0523f190066e6f77072ca51ca70afa1cf018e16c1aacd01c5c2
- Size of remote file:
- 1.06 kB
- SHA256:
- c20a1d445cb49a6eb7c1f9718b2833c6a5a39193bc1158f06589b9aaeae6c673
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