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emaiannone
/
vuteco-ct5p-e2e

Text Classification
Transformers
Safetensors
English
end2end
code
Model card Files Files and versions
xet
Community

Instructions to use emaiannone/vuteco-ct5p-e2e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use emaiannone/vuteco-ct5p-e2e with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="emaiannone/vuteco-ct5p-e2e")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("emaiannone/vuteco-ct5p-e2e", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
vuteco-ct5p-e2e
882 MB
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  • 1 contributor
History: 3 commits
emaiannone's picture
emaiannone
Create README.md
52e60eb verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    6.18 kB
    Create README.md 4 months ago
  • config.json
    928 Bytes
    Upload folder using huggingface_hub 5 months ago
  • merges.txt
    294 kB
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  • model.safetensors
    879 MB
    xet
    Upload folder using huggingface_hub 5 months ago
  • special_tokens_map.json
    15.5 kB
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  • tokenizer.json
    2.29 MB
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  • tokenizer_config.json
    21.2 kB
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  • vocab.json
    511 kB
    Upload folder using huggingface_hub 5 months ago