Instructions to use Rietta/CycleGAN_DL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Rietta/CycleGAN_DL with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Rietta/CycleGAN_DL") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- efa714410efce8d34615119cd7f5e6a7c252843391961f528ce4ab883d73d88a
- Size of remote file:
- 2.13 kB
- SHA256:
- 0bfb12761e837ebcd54aa661d2080573317a8768528df8c6ecdecf74eb5fd934
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.