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Waqf-AI
/
arabic-splade-efficient

sentence-transformers
Safetensors
Arabic
distilbert
sparse-encoder
splade
arabic
retrieval
Model card Files Files and versions
xet
Community

Instructions to use Waqf-AI/arabic-splade-efficient with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Waqf-AI/arabic-splade-efficient with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Waqf-AI/arabic-splade-efficient")
    
    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
arabic-splade-efficient
2.72 GB
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  • 1 contributor
History: 2 commits
Abdelkareem's picture
Abdelkareem
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  • 1_SpladePooling
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  • checkpoint-1000
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  • checkpoint-1500
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  • checkpoint-1634
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  • checkpoint-500
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  • .gitattributes
    1.52 kB
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  • README.md
    1.6 kB
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  • config.json
    624 Bytes
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  • config_sentence_transformers.json
    274 Bytes
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  • model.safetensors
    542 MB
    xet
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  • modules.json
    307 Bytes
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  • sentence_bert_config.json
    221 Bytes
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  • tokenizer.json
    2.92 MB
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  • tokenizer_config.json
    323 Bytes
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