Instructions to use cragtmp/task1p with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task1p 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/task1p") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c7cb53438cd1a9698c2ff8c8eeb41385741f8ae4f0ef6cdabb85274b5df8733
- Size of remote file:
- 8.63 kB
- SHA256:
- ccd6adf03cbc28fcd10f8776e16882e610a76a0b5367ddbb5022d7e7f6de2b22
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