Instructions to use keras-io/WGAN-GP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/WGAN-GP with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("keras-io/WGAN-GP") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from keras-io/WGAN-GP: direct link, hf CLI and curl.
- Browser
- Download file 273 kB
-
https://huggingface.co/keras-io/WGAN-GP/resolve/main/saved_model.pb
- Command line
-
hf download hf://keras-io/WGAN-GP/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/keras-io/WGAN-GP/resolve/main/saved_model.pb
273 kB
- Xet hash:
- d8d0a9ae3264f5adf49a3ced55b27424a967c8dddad4229f8a81da7e962d60d1
- Size of remote file:
- 273 kB
- SHA256:
- 4a56dde113602d6818559e685c0a827fc945449b59276e923b92c56ebdaa181e
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