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embaas
/
sentence-transformers-multilingual-e5-base

Sentence Similarity
sentence-transformers
PyTorch
xlm-roberta
feature-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • sentence-transformers

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

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("embaas/sentence-transformers-multilingual-e5-base")
    
    sentences = [
        "That is a happy person",
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
sentence-transformers-multilingual-e5-base / 1_Pooling
Ctrl+K
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  • 1 contributor
History: 2 commits
Banso's picture
Banso
Update 1_Pooling/config.json
ff629ad almost 3 years ago
  • config.json
    190 Bytes
    Update 1_Pooling/config.json almost 3 years ago