Instructions to use cragtmp/2gt6-50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/2gt6-50 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/2gt6-50") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5787010bfa0744b8c6ab4b1d919a70f755fd2f1e5f6603c510f6b4f9a569fc33
- Size of remote file:
- 1.06 kB
- SHA256:
- f718aca85682e18bbf1067df30fea334295a41f324f38dfc0319205126aec437
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