Instructions to use bhandary/keras-dummy-sequential-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use bhandary/keras-dummy-sequential-demo 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("bhandary/keras-dummy-sequential-demo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f9f1d9fddc34d10e6d285ff9b0dab7931e6ec4851508ef33b6f4add359841d0
- Size of remote file:
- 33.7 kB
- SHA256:
- 6113466ca31ac1f3b5d990e859c77ca1d68259ad54ad718b6a365e941bd3bff2
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