Instructions to use rogernancada/Capstone_Deblurring_WGAN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use rogernancada/Capstone_Deblurring_WGAN with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://rogernancada/Capstone_Deblurring_WGAN") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9325d22e23b87dc670400f2b394ae7afcd2e3677d08416a1e1444e31b5c540d6
- Size of remote file:
- 45.8 MB
- SHA256:
- f39e563706e684c320883e4244087df0ffc69672f48c39959abaab18976643e5
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