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SHIPAI-IKIM
/
miracle-german

Sentence Similarity
sentence-transformers
Safetensors
German
xlm-roberta
feature-extraction
medical
clinical
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use SHIPAI-IKIM/miracle-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use SHIPAI-IKIM/miracle-german with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("SHIPAI-IKIM/miracle-german")
    
    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

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  • 1_Pooling
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  • config.json
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  • modules.json
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  • sentence_bert_config.json
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  • sentencepiece.bpe.model
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