Instructions to use cragtmp/task3vp-150 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task3vp-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/task3vp-150") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2fdf973f917336c97ef010eef232cb2c5b0317aed3c8d20ae631e3f49e71120
- Size of remote file:
- 1.06 kB
- SHA256:
- 5d85d3d27fd8ffd845d095fc8135f039e37018a2a4dc1db4126f1132ada08658
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