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edmon03
/
edtonai-scorer

Text Ranking
sentence-transformers
Safetensors
xlm-roberta
cross-encoder
reranker
Generated from Trainer
dataset_size:5616
loss:BinaryCrossEntropyLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use edmon03/edtonai-scorer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use edmon03/edtonai-scorer with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("edmon03/edtonai-scorer")
    
    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
edtonai-scorer
487 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
edmon03's picture
edmon03
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  • .gitattributes
    1.57 kB
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  • README.md
    103 kB
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  • config.json
    931 Bytes
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  • model.safetensors
    471 MB
    xet
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  • tokenizer.json
    16.8 MB
    xet
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  • tokenizer_config.json
    314 Bytes
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