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cometadata
/
jina-reranker-v2-multilingual-affiliations-comet-training-only

Text Classification
sentence-transformers
Safetensors
multilingual
cross-encoder
reranker
affiliation-matching
scholarly-metadata
custom_code
Model card Files Files and versions
xet
Community

Instructions to use cometadata/jina-reranker-v2-multilingual-affiliations-comet-training-only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use cometadata/jina-reranker-v2-multilingual-affiliations-comet-training-only with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("cometadata/jina-reranker-v2-multilingual-affiliations-comet-training-only", 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
jina-reranker-v2-multilingual-affiliations-comet-training-only / eval
439 Bytes
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
adambuttrick's picture
adambuttrick
Training in progress, step 2500
c8657a5 verified 6 months ago
  • CrossEncoderRerankingEvaluator_affiliation-val_results_@10.csv
    439 Bytes
    Training in progress, step 2500 6 months ago