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Hiveurban
/
multilingual-e5-large-pooled

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

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

  • Libraries
  • sentence-transformers

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

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Hiveurban/multilingual-e5-large-pooled")
    
    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-large-pooled / code
495 Bytes
Ctrl+K
Ctrl+K
  • 8 contributors
History: 4 commits
shamaayan's picture
shamaayan
output_fn
7288186 almost 2 years ago
  • inference.py
    495 Bytes
    output_fn almost 2 years ago