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emaiannone
/
vuteco-qc-e2e

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

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="emaiannone/vuteco-qc-e2e")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("emaiannone/vuteco-qc-e2e", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
vuteco-qc-e2e
15.2 GB
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  • 1 contributor
History: 4 commits
emaiannone's picture
emaiannone
Update README.md
c849f90 verified 4 months ago
  • .gitattributes
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  • README.md
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  • added_tokens.json
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  • config.json
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  • merges.txt
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  • model-00001-of-00004.safetensors
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  • model-00002-of-00004.safetensors
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  • model-00003-of-00004.safetensors
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  • model-00004-of-00004.safetensors
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  • model.safetensors.index.json
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  • special_tokens_map.json
    613 Bytes
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  • tokenizer.json
    11.4 MB
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  • tokenizer_config.json
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  • vocab.json
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