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intfloat
/
multilingual-e5-large

Feature Extraction
sentence-transformers
PyTorch
ONNX
Safetensors
OpenVINO
xlm-roberta
mteb
Sentence Transformers
sentence-similarity
Eval Results (legacy)
Eval Results
text-embeddings-inference
Model card Files Files and versions
xet
Community
59

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

  • Libraries
  • sentence-transformers

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

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("intfloat/multilingual-e5-large")
    
    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]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
multilingual-e5-large / 1_Pooling
Ctrl+K
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  • 9 contributors
History: 1 commit
intfloat's picture
intfloat
Upload 3 files (#5)
6693d0c almost 3 years ago
  • config.json
    201 Bytes
    Upload 3 files (#5) almost 3 years ago