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nixiesearch
/
multilingual-e5-large-onnx

Feature Extraction
sentence-transformers
ONNX
English
xlm-roberta
sentence-similarity
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

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

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("nixiesearch/multilingual-e5-large-onnx")
    
    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-onnx
2.82 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
shuttie's picture
shuttie
initial commit
f3028d7 over 2 years ago
  • .gitattributes
    231 Bytes
    initial commit over 2 years ago
  • README.md
    1.35 kB
    initial commit over 2 years ago
  • config.json
    686 Bytes
    initial commit over 2 years ago
  • model.onnx
    477 kB
    xet
    initial commit over 2 years ago
  • model.onnx_data
    2.24 GB
    xet
    initial commit over 2 years ago
  • model_opt0_QInt8.onnx
    562 MB
    xet
    initial commit over 2 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    initial commit over 2 years ago
  • special_tokens_map.json
    280 Bytes
    initial commit over 2 years ago
  • tokenizer.json
    17.1 MB
    xet
    initial commit over 2 years ago
  • tokenizer_config.json
    1.15 kB
    initial commit over 2 years ago