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HebArabNlpProject
/
Semantic-Retrieval-2nd-place

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

Instructions to use HebArabNlpProject/Semantic-Retrieval-2nd-place with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use HebArabNlpProject/Semantic-Retrieval-2nd-place with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("HebArabNlpProject/Semantic-Retrieval-2nd-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-2nd-place / models /multilingual-e5-large
2.26 GB
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  • 1 contributor
History: 1 commit
yarden077's picture
yarden077
uploading 2nd place model
0f5ecaf verified 5 days ago
  • 1_Pooling
    uploading 2nd place model 5 days ago
  • README.md
    166 kB
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  • config.json
    718 Bytes
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  • model.safetensors
    2.24 GB
    xet
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  • modules.json
    406 Bytes
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  • sentence_bert_config.json
    60 Bytes
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  • sentencepiece.bpe.model
    5.07 MB
    xet
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  • special_tokens_map.json
    295 Bytes
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  • tokenizer.json
    17.1 MB
    xet
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  • tokenizer_config.json
    437 Bytes
    uploading 2nd place model 5 days ago