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alphaedge-ai
/
multilingual-e5-base-deu-32768

Sentence Similarity
sentence-transformers
Safetensors
German
xlm-roberta
trimmed
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use alphaedge-ai/multilingual-e5-base-deu-32768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use alphaedge-ai/multilingual-e5-base-deu-32768 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("alphaedge-ai/multilingual-e5-base-deu-32768")
    
    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-base-deu-32768
447 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
lbourdois's picture
lbourdois
Update model card for German
d82d01a verified 8 days ago
  • 1_Pooling
    Upload pruned model 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    2.68 kB
    Update model card for German 8 days ago
  • config.json
    655 Bytes
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  • model.safetensors
    445 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
    2.39 MB
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  • tokenizer_config.json
    1.18 kB
    Upload pruned model 7 months ago