Instructions to use Hammad712/CycleGAN-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use Hammad712/CycleGAN-Model 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("Hammad712/CycleGAN-Model") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from Hammad712/CycleGAN-Model: direct link, hf CLI and curl.
- Browser
- Download file 1.09 MB
-
https://huggingface.co/Hammad712/CycleGAN-Model/resolve/main/saved_model.pb
- Command line
-
hf download hf://Hammad712/CycleGAN-Model/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/Hammad712/CycleGAN-Model/resolve/main/saved_model.pb
1.09 MB
- Xet hash:
- 131faa9e0b037d6820dcfdff2527bc016e10b171554a969f678afb2719cfa02f
- Size of remote file:
- 1.09 MB
- SHA256:
- 5e52abb4a4dad6a6e497a49319049194faa15e89f33d806f0f4544043a49b19e
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