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ElyKok
/
hebrew-qa-reranker

Text Ranking
sentence-transformers
Safetensors
Hebrew
xlm-roberta
cross-encoder
reranker
hebrew
rag
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

    How to use ElyKok/hebrew-qa-reranker with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("ElyKok/hebrew-qa-reranker")
    
    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
hebrew-qa-reranker
2.29 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
ElyKok's picture
ElyKok
Upload README.md with huggingface_hub
aa2fe22 verified 4 days ago
  • .gitattributes
    1.57 kB
    Add new CrossEncoder model 4 days ago
  • README.md
    2.22 kB
    Upload README.md with huggingface_hub 4 days ago
  • config.json
    843 Bytes
    Add new CrossEncoder model 4 days ago
  • config_sentence_transformers.json
    262 Bytes
    Add new CrossEncoder model 4 days ago
  • model.safetensors
    2.27 GB
    xet
    Add new CrossEncoder model 4 days ago
  • modules.json
    131 Bytes
    Add new CrossEncoder model 4 days ago
  • sentence_bert_config.json
    225 Bytes
    Add new CrossEncoder model 4 days ago
  • tokenizer.json
    17.1 MB
    xet
    Add new CrossEncoder model 4 days ago
  • tokenizer_config.json
    598 Bytes
    Add new CrossEncoder model 4 days ago