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denniscraandijk
/
dutch-multilingual-e5-large

Sentence Similarity
sentence-transformers
Safetensors
Dutch
xlm-roberta
passage-retrieval
pruned
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

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

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("denniscraandijk/dutch-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]
  • Notebooks
  • Google Colab
  • Kaggle
dutch-multilingual-e5-large
1.38 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
denniscraandijk's picture
denniscraandijk
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3a0a3d9 verified over 1 year ago
  • 1_Pooling
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  • .gitattributes
    1.52 kB
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  • README.md
    1.47 kB
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  • config.json
    715 Bytes
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  • model.safetensors
    1.37 GB
    xet
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  • modules.json
    387 Bytes
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  • sentence_bert_config.json
    57 Bytes
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  • special_tokens_map.json
    964 Bytes
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  • tokenizer.json
    2.75 MB
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  • tokenizer_config.json
    1.18 kB
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