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AshwinKM2005
/
github-duplicates-bi-encoder

Sentence Similarity
sentence-transformers
Safetensors
gemma3_text
feature-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use AshwinKM2005/github-duplicates-bi-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use AshwinKM2005/github-duplicates-bi-encoder with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("AshwinKM2005/github-duplicates-bi-encoder")
    
    sentences = [
        "That is a happy person",
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
github-duplicates-bi-encoder
1.27 GB
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  • 1 contributor
History: 2 commits
AshwinKM2005's picture
AshwinKM2005
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  • .gitattributes
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  • README.md
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  • added_tokens.json
    35 Bytes
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  • config.json
    1.48 kB
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  • config_sentence_transformers.json
    992 Bytes
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  • model.safetensors
    1.21 GB
    xet
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  • modules.json
    573 Bytes
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  • sentence_bert_config.json
    58 Bytes
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  • special_tokens_map.json
    662 Bytes
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  • tokenizer.json
    33.4 MB
    xet
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  • tokenizer.model
    4.69 MB
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  • tokenizer_config.json
    1.16 MB
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