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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 / checkpoint-500
545 MB
Ctrl+K
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  • 1 contributor
History: 1 commit
Abdelkareem's picture
Abdelkareem
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4a8c0a7 verified 5 days ago
  • 1_SpladePooling
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  • README.md
    16.1 kB
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  • config.json
    624 Bytes
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  • config_sentence_transformers.json
    273 Bytes
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  • model.safetensors
    542 MB
    xet
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  • modules.json
    307 Bytes
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  • rng_state.pth

    Detected Pickle imports (7)

    • "collections.OrderedDict",
    • "_codecs.encode",
    • "numpy.dtype",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.ByteStorage",
    • "numpy.ndarray",
    • "numpy._core.multiarray._reconstruct"

    How to fix it?

    14.6 kB
    xet
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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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  • trainer_state.json
    1.07 kB
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