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santhosh
/
multilingual-e5-base-int8-ov

Sentence Similarity
sentence-transformers
OpenVINO
xlm-roberta
mteb
Sentence Transformers
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use santhosh/multilingual-e5-base-int8-ov with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use santhosh/multilingual-e5-base-int8-ov with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("santhosh/multilingual-e5-base-int8-ov")
    
    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
multilingual-e5-base-int8-ov
311 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
santhosh's picture
santhosh
Update README.md
477e4dd verified 9 months ago
  • .gitattributes
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  • README.md
    170 kB
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  • config.json
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  • openvino_detokenizer.bin

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    4.27 MB
    xet
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  • openvino_detokenizer.xml
    10.9 kB
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  • openvino_model.bin
    279 MB
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  • openvino_model.xml
    599 kB
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  • openvino_tokenizer.bin
    5.32 MB
    xet
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  • openvino_tokenizer.xml
    27.6 kB
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  • sentencepiece.bpe.model
    5.07 MB
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  • special_tokens_map.json
    964 Bytes
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  • tokenizer.json
    17.1 MB
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  • tokenizer_config.json
    1.18 kB
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