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:
- 1a5636896593c0dc55f8db351d4c5758d33d4998ecfb9e0555515dec162d9b0d
- Size of remote file:
- 12.8 kB
- SHA256:
- 05e4961e55d135ee034ed531b9e51a913e71a4f924599b76f1ae6088e27faaef
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