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HebArabNlpProject
/
Semantic-Retrieval-1st-place

Sentence Similarity
sentence-transformers
Safetensors
Hebrew
hebrew
semantic-retrieval
information-retrieval
dense-retrieval
reranking
ensemble
competition
Model card Files Files and versions
xet
Community

Instructions to use HebArabNlpProject/Semantic-Retrieval-1st-place with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use HebArabNlpProject/Semantic-Retrieval-1st-place with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("HebArabNlpProject/Semantic-Retrieval-1st-place")
    
    sentences = [
        "The weather is lovely today.",
        "It's so sunny outside!",
        "He drove to the stadium."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Notebooks
  • Google Colab
  • Kaggle
Semantic-Retrieval-1st-place
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  • 1 contributor
History: 6 commits
yarden077's picture
yarden077
Update README.md
d51957a verified about 12 hours ago
  • victord
    uploading 1st place model about 12 hours ago
  • .gitattributes
    2.24 kB
    uploading 1st place model about 12 hours ago
  • README.md
    7.83 kB
    Update README.md about 12 hours ago