Instructions to use SBB/sbb_binarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use SBB/sbb_binarization with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("SBB/sbb_binarization") - Notebooks
- Google Colab
- Kaggle
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- image-to-image
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license: apache-2.0
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- image-to-image
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license: apache-2.0
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This is a model for document image binarization.
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For details, see [https://github.com/qurator-spk/sbb_binarization](sbb_binarization).
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