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Diabase
/
reranker-1

Text Classification
sentence-transformers
Safetensors
Swedish
English
eurobert
diabase
reranker
cross-encoder
text-ranking
retrieval
rag
swedish
european-ai
sovereign-ai
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Diabase/reranker-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Diabase/reranker-1 with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("Diabase/reranker-1", trust_remote_code=True)
    
    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-1
867 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
MattisRosen's picture
MattisRosen
Publish transparent research preview
9b50fd0 verified 6 days ago
  • .gitattributes
    1.57 kB
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  • README.md
    10.8 kB
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  • config.json
    1.56 kB
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  • config_sentence_transformers.json
    262 Bytes
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  • configuration_eurobert.py
    12.1 kB
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  • model.safetensors
    849 MB
    xet
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  • modeling_eurobert.py
    47.6 kB
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  • modules.json
    131 Bytes
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  • sentence_bert_config.json
    225 Bytes
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  • special_tokens_map.json
    582 Bytes
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  • tokenizer.json
    17.2 MB
    xet
    Publish transparent research preview 6 days ago
  • tokenizer_config.json
    50.8 kB
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