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) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("Hammad712/CycleGAN-Model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9dae643ec61937b90a217cf8a304673b5a55d781f355d7bdd3a77024330efa9c
- Size of remote file:
- 58 Bytes
- SHA256:
- 02224bed4b1dc35a33c0389621a523df1e5139ffc8a53de8df222383248ce4c5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.