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:
- c56f78b5bbb576f3d20a1da3e6196797ea6c3646aa66226e82abc891fc64bcac
- Size of remote file:
- 3.3 kB
- SHA256:
- 8a874873d09c728b23d0b6a00ba52f9ed5ffce2503aa7e3fff144071dd273836
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