Instructions to use cragtmp/task3f2-800 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task3f2-800 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/task3f2-800") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd678e728a0f3b1c39a6c95db07fb298d2d8b8de87c6e344a6db684025dcd70d
- Size of remote file:
- 14.2 kB
- SHA256:
- 7b5fa02ce1f2057ffdcccd86019817387a38e6b835bf0ecf5d2277b489b598e7
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