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
Commit History
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Set `library_name` to `tf-keras`. (#2)
Verified signature- Set `library_name` to `tf-keras`. (4f43905ea56a4d2d1a160eda2fff3bf4e8135c7c) Co-authored-by: Lucain Pouget <Wauplin@users.noreply.huggingface.co>cfdf444
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update to new hybrid model
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First full model card by @Jrglmn
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replace old h5 model with new model in tf format
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Upload model_bin_sbb_ens.h5 with git-lfs
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initial commit
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