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polodealvarado
/
polyencoder

Zero-Shot Classification
Transformers
Safetensors
PyTorch
English
zero-shot
multi-label
text-classification
Model card Files Files and versions
xet
Community

Instructions to use polodealvarado/polyencoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use polodealvarado/polyencoder with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-classification", model="polodealvarado/polyencoder")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("polodealvarado/polyencoder", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
polyencoder
439 MB
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  • 1 contributor
History: 2 commits
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  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    1.5 kB
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  • config.json
    87 Bytes
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  • model.safetensors
    438 MB
    xet
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    322 Bytes
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  • training_meta.json
    271 Bytes
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