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:
- af0d5034a93ca51f05010eee7f25cebb534f189542bef989ba4bf06992fa471c
- Size of remote file:
- 4.42 MB
- SHA256:
- 18dc9879828a42d8f12845f6026d4835acf7ac70f82abda68ad3a5cc17b9e44a
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