Instructions to use keras-io/conditional-gan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/conditional-gan 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/conditional-gan") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af64fcd7626f31b3d16631df6f0836bfe0036f50ad38034ca6cebbb190c9a1ce
- Size of remote file:
- 158 kB
- SHA256:
- c116cc1c179dbc3b3047da22765eb9b8e883e50cfdb3c36677e771989775349a
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