Instructions to use cragtmp/task3f2-600 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task3f2-600 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/task3f2-600") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2ccdbca1a0023f8d906f660f563e8917ab742e8ff20d28f224636595297612c
- Size of remote file:
- 1.06 kB
- SHA256:
- 460eaf6f0f8f5d7e2f29d680b1927a42bf7573a3c817dbf2df4c39c223ad1091
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