Instructions to use cragtmp/task1s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task1s 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/task1s") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 987196ba2f9b34fd999851d491a55bc79d8087624de645a1b8ab0af5bee0a2a5
- Size of remote file:
- 10.1 kB
- SHA256:
- d1a5c0f48c39755fde1fdde3e1b53b1cb673f2b9f6ab7e71dd17fca3d5570ed2
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