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devrev
/
zerank-1-small-seq-dup

Text Ranking
sentence-transformers
Safetensors
English
qwen3
reranker
english
Model card Files Files and versions
xet
Community

Instructions to use devrev/zerank-1-small-seq-dup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use devrev/zerank-1-small-seq-dup with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("devrev/zerank-1-small-seq-dup")
    
    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
zerank-1-small-seq-dup
3.45 GB
Ctrl+K
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  • 1 contributor
History: 7 commits
shanaym's picture
shanaym
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f9e871d verified 15 days ago
  • .gitattributes
    1.57 kB
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  • added_tokens.json
    707 Bytes
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  • config.json
    1.45 kB
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  • model.safetensors
    3.44 GB
    xet
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  • special_tokens_map.json
    613 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    9.79 kB
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