Instructions to use cragtmp/pairgt705r16-200 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/pairgt705r16-200 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/pairgt705r16-200") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f7076b897222f0fe3ea747931c137f49642645fc5a6addae0a31302dd206e3b
- Size of remote file:
- 8.7 kB
- SHA256:
- a9470a83fcf129d40504afc5d46bba326c9118624995bcfa3161c6a0094f35bb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.