Instructions to use cragtmp/2gt5-750 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/2gt5-750 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/2gt5-750") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f83de948fb9dcb2def3ec49263bc72ed50dcd372b14a0a58648fb70e53ffedd3
- Size of remote file:
- 8.7 kB
- SHA256:
- 1a70319256da723f2ab23c082e5e1ecffba4c42af4a54dc21b9d15e6da1240f6
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