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intfloat
/
multilingual-e5-base

Sentence Similarity
sentence-transformers
PyTorch
ONNX
Safetensors
OpenVINO
xlm-roberta
mteb
Sentence Transformers
Eval Results (legacy)
Eval Results
text-embeddings-inference
Model card Files Files and versions
xet
Community
31

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

  • Libraries
  • sentence-transformers

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

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("intfloat/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]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
multilingual-e5-base / .eval_results
Ctrl+K
Ctrl+K
  • 6 contributors
History: 1 commit
intfloat's picture
intfloat
Add evaluation results for model intfloat/multilingual-e5-base revision d13f1b27baf31030b7fd040960d60d909913633f (#31)
d128750 about 1 month ago
  • ArguAna.yaml
    575 Bytes
    Add evaluation results for model intfloat/multilingual-e5-base revision d13f1b27baf31030b7fd040960d60d909913633f (#31) about 1 month ago