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hotchpotch
/
japanese-reranker-cross-encoder-base-v1

Text Ranking
sentence-transformers
Safetensors
Japanese
bert
Model card Files Files and versions
xet
Community
2

Instructions to use hotchpotch/japanese-reranker-cross-encoder-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use hotchpotch/japanese-reranker-cross-encoder-base-v1 with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("hotchpotch/japanese-reranker-cross-encoder-base-v1")
    
    query = "Which planet is known as the Red Planet?"
    passages = [
    	"Venus is often called Earth's twin because of its similar size and proximity.",
    	"Mars, known for its reddish appearance, is often referred to as the Red Planet.",
    	"Jupiter, the largest planet in our solar system, has a prominent red spot.",
    	"Saturn, famous for its rings, is sometimes mistaken for the Red Planet."
    ]
    
    scores = model.predict([(query, passage) for passage in passages])
    print(scores)
  • Notebooks
  • Google Colab
  • Kaggle
japanese-reranker-cross-encoder-base-v1
445 MB
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  • 2 contributors
History: 12 commits
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hotchpotch
Update README.md
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  • tokenizer_config.json
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  • vocab.txt
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