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KyberNull
/
english-multilingual-e5-base

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

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

  • Libraries
  • sentence-transformers

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

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("KyberNull/english-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]
  • Notebooks
  • Google Colab
  • Kaggle
english-multilingual-e5-base
470 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
KyberNull's picture
KyberNull
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2bbd440 verified 12 months ago
  • 1_Pooling
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  • .gitattributes
    1.52 kB
    initial commit 12 months ago
  • README.md
    1.46 kB
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  • config.json
    713 Bytes
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  • model.safetensors
    467 MB
    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
    2.84 MB
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  • tokenizer_config.json
    1.18 kB
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