Instructions to use cragtmp/task1add3-150 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task1add3-150 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/task1add3-150") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b80418d61a1436db1ada1c690026f8c5e03fa0254f7a9741e6aa826f2852147f
- Size of remote file:
- 1.06 kB
- SHA256:
- bf849250e153a0954d7061fc3d461246955b3b3a5820022d96382b1557016165
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