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jaganadhg
/
cheque-field-regressor

Image-to-Image
Transformers
Safetensors
English
cheque_regressor
document-understanding
cheque-processing
bounding-box-regression
resnet
indian-banking
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use jaganadhg/cheque-field-regressor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jaganadhg/cheque-field-regressor with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-to-image", model="jaganadhg/cheque-field-regressor")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("jaganadhg/cheque-field-regressor", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
cheque-field-regressor
100 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
jaganadhg's picture
jaganadhg
Upload folder using huggingface_hub
e012a4a verified 27 days ago
  • .gitattributes
    1.52 kB
    initial commit 27 days ago
  • README.md
    9.09 kB
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  • config.json
    546 Bytes
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  • image_processing_cheque.py
    5.93 kB
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  • model.safetensors
    100 MB
    xet
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  • modeling_cheque_regressor.py
    10.6 kB
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  • preprocessor_config.json
    249 Bytes
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