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rounit786757
/
e5-large-v2

Sentence Similarity
sentence-transformers
Safetensors
English
bert
mteb
Sentence Transformers
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use rounit786757/e5-large-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use rounit786757/e5-large-v2 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("rounit786757/e5-large-v2")
    
    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
e5-large-v2
1.58 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
rounit786757's picture
rounit786757
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fe1a8a0 verified about 2 months ago
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  • checkpoints
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  • .gitattributes
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  • README.md
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  • config.json
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  • config_sentence_transformers.json
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  • model.safetensors
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    xet
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  • modules.json
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  • sentence_bert_config.json
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  • tokenizer.json
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  • tokenizer_config.json
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