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almador2002
/
tripalchemy-embeddings

Feature Extraction
sentence-transformers
embeddings
recommendation
Model card Files Files and versions
xet
Community

Instructions to use almador2002/tripalchemy-embeddings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use almador2002/tripalchemy-embeddings with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("almador2002/tripalchemy-embeddings")
    
    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
tripalchemy-embeddings
16.9 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
almador2002's picture
almador2002
Upload README.md with huggingface_hub
410c801 verified 2 days ago
  • .gitattributes
    1.52 kB
    initial commit 2 days ago
  • README.md
    3.28 kB
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  • comparison_chart.png
    43.2 kB
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  • comparison_report.json
    1.45 kB
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  • embeddings_compare_hf.py
    9.35 kB
    Upload embeddings_compare_hf.py with huggingface_hub 2 days ago
  • winning_model.npz
    16.8 MB
    xet
    Upload winning_model.npz with huggingface_hub 2 days ago