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i1j
/
reranker

Text Ranking
sentence-transformers
Safetensors
xlm-roberta
cross-encoder
reranker
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use i1j/reranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use i1j/reranker with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("i1j/reranker")
    
    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
reranker
2.29 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
i1j's picture
i1j
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  • .gitattributes
    1.57 kB
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  • README.md
    5.08 kB
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  • config.json
    841 Bytes
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  • config_sentence_transformers.json
    261 Bytes
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  • model.safetensors
    2.27 GB
    xet
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  • modules.json
    131 Bytes
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  • sentence_bert_config.json
    225 Bytes
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  • tokenizer.json
    16.8 MB
    xet
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  • tokenizer_config.json
    380 Bytes
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