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Surpem
/
Supertron2-Reranker-8B

Text Ranking
sentence-transformers
Safetensors
PyTorch
English
qwen3_vl
reranking
retrieval
rag
cross-encoder
qwen3-vl
Model card Files Files and versions
xet
Community

Instructions to use Surpem/Supertron2-Reranker-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Surpem/Supertron2-Reranker-8B with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("Surpem/Supertron2-Reranker-8B")
    
    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
Supertron2-Reranker-8B
17.5 GB
Ctrl+K
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  • 2 contributors
History: 3 commits
Selennnn's picture
Selennnn
Update README.md
c15ca2d verified 1 day ago
  • additional_chat_templates
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  • .gitattributes
    1.57 kB
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  • README.md
    3.5 kB
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  • chat_template.jinja
    5.29 kB
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  • config.json
    1.66 kB
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  • generation_config.json
    212 Bytes
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  • model.safetensors
    17.5 GB
    xet
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  • processor_config.json
    1.26 kB
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    416 Bytes
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