Keras
English
image-restoration
deblurring
sharpening
scratch-removal
deep-learning
computer-vision
tensorflow
Instructions to use istevit/ReviveAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use istevit/ReviveAI with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://istevit/ReviveAI") - Notebooks
- Google Colab
- Kaggle
Rendering notebook...
- Xet hash:
- ff8a97f1efbe4856b279b93a7c281326d5186ffbea702d9dfe63935ad65020d5
- Size of remote file:
- 13.5 MB
- SHA256:
- 78eb29ceebc89b30f48f39dc11f8141863fd467e75a17323010c26832153d496
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