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amazon
/
Titan-text-embeddings-v2

Feature Extraction
Transformers
sentence-similarity
mteb
Eval Results (legacy)
Model card Files Files and versions
xet

Instructions to use amazon/Titan-text-embeddings-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use amazon/Titan-text-embeddings-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="amazon/Titan-text-embeddings-v2")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("amazon/Titan-text-embeddings-v2", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Titan-text-embeddings-v2
173 kB
Ctrl+K
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  • 2 contributors
History: 8 commits
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gnovack-amzn
Update README.md
6023613 verified about 2 years ago
  • .gitattributes
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  • README.md
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  • config.json
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