Instructions to use ChenYanKai2002/OpenPerov-Pro-Scientific-Relevance-Reranker-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ChenYanKai2002/OpenPerov-Pro-Scientific-Relevance-Reranker-8B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-Reranker-8B") model = PeftModel.from_pretrained(base_model, "ChenYanKai2002/OpenPerov-Pro-Scientific-Relevance-Reranker-8B") - Notebooks
- Google Colab
- Kaggle
Download release_status.json from ChenYanKai2002/OpenPerov-Pro-Scientific-Relevance-Reranker-8B: direct link, hf CLI and curl.
- Browser
- Download file 236 Bytes
-
https://huggingface.co/ChenYanKai2002/OpenPerov-Pro-Scientific-Relevance-Reranker-8B/resolve/main/release_status.json
- Command line
-
hf download hf://ChenYanKai2002/OpenPerov-Pro-Scientific-Relevance-Reranker-8B/release_status.json
-
curl -L -o release_status.json https://huggingface.co/ChenYanKai2002/OpenPerov-Pro-Scientific-Relevance-Reranker-8B/resolve/main/release_status.json
236 Bytes
| { | |
| "paper_name": "OpenPerov Pro: scientific-relevance reranker", | |
| "base_model": "Qwen/Qwen3-Reranker-8B", | |
| "adapter_weights": "available", | |
| "merged_weights": "not_applicable", | |
| "code": "https://github.com/Yan-Kai-Chen/OpenPerov" | |
| } | |