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laura2243
/
cross-encoder-expert

Text Ranking
sentence-transformers
Safetensors
deberta-v2
cross-encoder
reranker
Generated from Trainer
dataset_size:43188
loss:BinaryCrossEntropyLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use laura2243/cross-encoder-expert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use laura2243/cross-encoder-expert with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("laura2243/cross-encoder-expert")
    
    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
cross-encoder-expert / eval
936 Bytes
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  • 1 contributor
History: 1 commit
laura2243's picture
laura2243
Upload folder using huggingface_hub
ae1ec60 verified 5 months ago
  • CrossEncoderClassificationEvaluator_paws-hard-val_results.csv
    466 Bytes
    Upload folder using huggingface_hub 5 months ago
  • CrossEncoderClassificationEvaluator_paws-val-judge_results.csv
    470 Bytes
    Upload folder using huggingface_hub 5 months ago