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aari1995
/
German_Semantic_V3

Sentence Similarity
sentence-transformers
ONNX
Safetensors
German
bert
feature-extraction
loss:MatryoshkaLoss
custom_code
text-embeddings-inference
Model card Files Files and versions
xet
Community
6

Instructions to use aari1995/German_Semantic_V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use aari1995/German_Semantic_V3 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("aari1995/German_Semantic_V3", trust_remote_code=True)
    
    sentences = [
        "Bundeskanzler.",
        "Angela Merkel.",
        "Olaf Scholz.",
        "Tino Chrupalla."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
German_Semantic_V3
Ctrl+K
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  • 1 contributor
History: 49 commits
aari1995's picture
aari1995
Update README.md
38403d4 verified over 1 year ago
  • 1_Pooling
    Add new SentenceTransformer model. almost 2 years ago
  • onnx
    Rename model.onnx to onnx/model.onnx over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    6.91 kB
    Update README.md over 1 year ago
  • config.json
    1.01 kB
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  • config_sentence_transformers.json
    215 Bytes
    Add new SentenceTransformer model. almost 2 years ago
  • configuration_bert.py
    8.24 kB
    Upload 2 files almost 2 years ago
  • model.safetensors
    1.34 GB
    xet
    Add new SentenceTransformer model. almost 2 years ago
  • modeling_bert.py
    97.7 kB
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  • modules.json
    242 Bytes
    Add new SentenceTransformer model. almost 2 years ago
  • sentence_bert_config.json
    57 Bytes
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  • special_tokens_map.json
    732 Bytes
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  • tokenizer.json
    729 kB
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  • tokenizer_config.json
    1.53 kB
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  • vocab.txt
    240 kB
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