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
Grosch commited on
Commit ·
c76b0ad
1
Parent(s): 2ba092f
Change directory structure to leverage from_pretrained_keras functionality
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saved_model/2021-04-25/keras_metadata.pb → keras_metadata.pb
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saved_model/2021-04-25/saved_model.pb → saved_model.pb
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{saved_model/2021-04-25/variables → variables}/variables.data-00000-of-00001
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{saved_model/2021-04-25/variables → variables}/variables.index
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