Instructions to use BillyAggarwal/NeuralStyleTransfer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use BillyAggarwal/NeuralStyleTransfer with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://BillyAggarwal/NeuralStyleTransfer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87d36f10afb125201e9d1a2e713b90aeb724cdd99e8a5c15386d8dbcb1359d92
- Size of remote file:
- 80.2 MB
- SHA256:
- 6596049ebbf1acdbf5d8c681dad8eb8d9e0b984958b8bf1239c42c9f1b3b8b52
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