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:
- 05d48c6b0c9960f340eea5bd132b062c8738bf02c12c92bfa601e22b89bc532d
- Size of remote file:
- 8.7 kB
- SHA256:
- dd5d2ba79d7611fe1fd77fd7b56c5388376cba0a585f422620fbd3f2425da83f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.