Instructions to use cragtmp/task3f2-700 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task3f2-700 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/task3f2-700") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16cff3ac7035cf74309fc8f3f758833ee56c1acb72ce4743e1ee9c9a9239f4da
- Size of remote file:
- 8.7 kB
- SHA256:
- 2cfa6616c6897406a916597ab742df18763c5a008e9494f8a7a1a9aee1e84f8d
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