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:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://istevit/ReviveAI") - Notebooks
- Google Colab
- Kaggle
Download assets/.gitkeep from istevit/ReviveAI: direct link, hf CLI and curl.
- Browser
- Download file 38 Bytes
-
https://huggingface.co/istevit/ReviveAI/resolve/main/assets/.gitkeep
- Command line
-
hf download hf://istevit/ReviveAI/assets/.gitkeep
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curl -L -o .gitkeep https://huggingface.co/istevit/ReviveAI/resolve/main/assets/.gitkeep
38 Bytes
| #Placeholder file to store all images | |