Instructions to use cragtmp/task3f2-150 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task3f2-150 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/task3f2-150") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11b850ade7ca440fb0fd3a7d9684d345790755c75aa67e9246a8393f402e1225
- Size of remote file:
- 1.06 kB
- SHA256:
- c94be3dde8c0aa1eb49095eb9d4c3e374518355fb77322b22676eb4fa32b4e69
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