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AbdullahMoQH
/
multilingual-e5-base

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

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

  • Libraries
  • sentence-transformers

    How to use AbdullahMoQH/multilingual-e5-base with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("AbdullahMoQH/multilingual-e5-base")
    
    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
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  • 1 contributor
History: 2 commits
AbdullahMoQH's picture
AbdullahMoQH
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  • .gitattributes
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  • README.md
    179 kB
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  • config.json
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  • config_sentence_transformers.json
    283 Bytes
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  • model.safetensors
    1.11 GB
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  • modules.json
    429 Bytes
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  • sentence_bert_config.json
    241 Bytes
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  • tokenizer.json
    16.8 MB
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  • tokenizer_config.json
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