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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 / small
110 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
tejadabheja's picture
tejadabheja
Upload small/answers.db with huggingface_hub
8c686d6 verified 24 days ago
  • answers.db
    20 MB
    xet
    Upload small/answers.db with huggingface_hub 24 days ago
  • embeddings.npy
    67.6 MB
    xet
    Upload small/embeddings.npy with huggingface_hub 24 days ago
  • metadata.json
    22.6 MB
    xet
    Upload small/metadata.json with huggingface_hub 24 days ago