Instructions to use SBB/eynollah-binarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use SBB/eynollah-binarization with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("SBB/eynollah-binarization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74c009e130fc4a7f8da678874d648c8e78866d66bb96a1bdc6f382524e6f5cb3
- Size of remote file:
- 434 kB
- SHA256:
- c150ac741e7b42a0689b7d92a3774ae0b33f784a13e2bad43e2a0059017647a2
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