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Ashishkr
/
paraphrase_diversity_ranker

Text Ranking
sentence-transformers
PyTorch
JAX
roberta
salesken
Model card Files Files and versions
xet
Community
3

Instructions to use Ashishkr/paraphrase_diversity_ranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Ashishkr/paraphrase_diversity_ranker with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("Ashishkr/paraphrase_diversity_ranker")
    
    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
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Adding `safetensors` variant of this model

#3 opened 10 months ago by
SFconvertbot

Adding `safetensors` variant of this model

#1 opened over 1 year ago by
SFconvertbot
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