Instructions to use JesseLiu/qwen25-pagerank-partial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JesseLiu/qwen25-pagerank-partial with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "JesseLiu/qwen25-pagerank-partial") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7ade32d501fc61cbab1f2b746777253b459ca0e99f74dbb6e80c052f0b5373b
- Size of remote file:
- 11.4 MB
- SHA256:
- f752b82c4ee71f5d21f43d3ec6af8fee9c8d89943c9678c6744da4f580837538
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.