Instructions to use keras-io/bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/bit 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("keras-io/bit") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- c13a93a7f7734d2b5fce2d99fcef3f6be2a4f7e66c3850d54b3022be4212b6ae
- Size of remote file:
- 1.83 kB
- SHA256:
- b52df5e564239cf9e319a008d38098303a79c55634c7a97be16b757729ada678
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