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ferrisS
/
german-multilingual-e5-small

Sentence Similarity
sentence-transformers
Safetensors
German
bert
passage-retrieval
pruned
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use ferrisS/german-multilingual-e5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use ferrisS/german-multilingual-e5-small with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("ferrisS/german-multilingual-e5-small")
    
    sentences = [
        "Das ist eine glückliche Person",
        "Das ist ein glücklicher Hund",
        "Das ist eine sehr glückliche Person",
        "Heute ist ein sonniger Tag"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
german-multilingual-e5-small
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  • 1 contributor
History: 2 commits
ferrisS's picture
ferrisS
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6aabb16 verified about 1 year ago
  • 1_Pooling
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  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    1.46 kB
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  • config.json
    680 Bytes
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  • model.safetensors
    143 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
    965 Bytes
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  • tokenizer.json
    2.65 MB
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  • tokenizer_config.json
    1.18 kB
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