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aureliend
/
french-multilingual-e5-large

Sentence Similarity
sentence-transformers
Safetensors
French
xlm-roberta
passage-retrieval
pruned
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

    How to use aureliend/french-multilingual-e5-large with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("aureliend/french-multilingual-e5-large")
    
    sentences = [
        "C'est une personne heureuse",
        "C'est un chien heureux",
        "C'est une personne très heureuse",
        "Aujourd'hui est une journée ensoleillée"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
french-multilingual-e5-large
1.37 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
aureliend's picture
aureliend
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eda1632 verified 10 months ago
  • 1_Pooling
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  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    1.46 kB
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  • config.json
    715 Bytes
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  • model.safetensors
    1.37 GB
    xet
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  • modules.json
    387 Bytes
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  • sentence_bert_config.json
    57 Bytes
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  • special_tokens_map.json
    964 Bytes
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  • tokenizer.json
    2.67 MB
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  • tokenizer_config.json
    1.18 kB
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