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:
- ff922298067904d091bf1d2ebe0e6a47b57bf03cdab0895abacec24a607ea30b
- Size of remote file:
- 22.7 kB
- SHA256:
- c6832fe852488f703ea8a96019bd0a34721e2e9c457f1c45e61b4b22b281af08
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