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qinghuiwan
/
structural-isomorphism-v1

Sentence Similarity
sentence-transformers
Safetensors
Chinese
bert
structural-isomorphism
cross-domain
analogy
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use qinghuiwan/structural-isomorphism-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use qinghuiwan/structural-isomorphism-v1 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("qinghuiwan/structural-isomorphism-v1")
    
    sentences = [
        "那是 個快樂的人",
        "那是 條快樂的狗",
        "那是 個非常幸福的人",
        "今天是晴天"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
structural-isomorphism-v1
2.86 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
qinghuiwan's picture
qinghuiwan
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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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  • modules.json
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  • sentence_bert_config.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.txt
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