Instructions to use cragtmp/task0.5rd2-519 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task0.5rd2-519 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/task0.5rd2-519") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 468f9ce2414101198a9c8a5cde1d79a0c7388ed45e0ed80a2c122e087782c9d4
- Size of remote file:
- 1.06 kB
- SHA256:
- 5e08bee5c9681cba3ef0e1de33174c1f27ab85dcd595f7eab1f831d6d8eacc77
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.