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linhha2705
/
multilingual-e5-simple

Sentence Similarity
sentence-transformers
PyTorch
multilingual
xlm-roberta
nutrition
retrieval
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use linhha2705/multilingual-e5-simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use linhha2705/multilingual-e5-simple with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("linhha2705/multilingual-e5-simple")
    
    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-simple
2.25 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
linhha2705's picture
linhha2705
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2c25e4d verified 11 months ago
  • 1_Pooling
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  • .gitattributes
    1.63 kB
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  • README.md
    1.12 kB
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  • best_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    1.11 GB
    xet
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  • config.json
    662 Bytes
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  • modules.json
    329 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    1.11 GB
    xet
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  • sentencepiece.bpe.model
    5.07 MB
    xet
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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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  • training_history.json
    981 Bytes
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  • training_progress.png
    315 kB
    xet
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