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 tokenizer.json from ChenYanKai2002/OpenPerov-Pro-Scientific-Relevance-Reranker-8B: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/ChenYanKai2002/OpenPerov-Pro-Scientific-Relevance-Reranker-8B/resolve/main/tokenizer.json
- Command line
-
hf download hf://ChenYanKai2002/OpenPerov-Pro-Scientific-Relevance-Reranker-8B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ChenYanKai2002/OpenPerov-Pro-Scientific-Relevance-Reranker-8B/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 8b8f89edd2ac0ef05841b73b5cc171673fde84bb8355f426e767f515b69c61a9
- Size of remote file:
- 11.4 MB
- SHA256:
- b3b69a0dea3fa63539116a2a87f719ed579473068e6c31531409ed8ffff124ca
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