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tejadabheja
/
gyan-model

Question Answering
sentence-transformers
English
retrieval
self-evolving
Model card Files Files and versions
xet
Community

Instructions to use tejadabheja/gyan-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use tejadabheja/gyan-model with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("tejadabheja/gyan-model")
    
    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
gyan-model
2.19 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
tejadabheja's picture
tejadabheja
Upload small/answers.db with huggingface_hub
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  • small
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  • .gitattributes
    1.73 kB
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  • README.md
    2.97 kB
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  • answers.db
    557 MB
    xet
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  • embeddings.npy
    953 MB
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  • metadata.json
    569 MB
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