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
Upload 2 files
Browse files
models/scratch_removal_model.txt
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Hugging Face Link:
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https://huggingface.co/Sami-on-hugging-face/RevAI_Scratch_Removal_Model
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models/sharpening_model.txt
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Hugging Face Link:
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https://huggingface.co/Sami-on-hugging-face/RevAI_Deblur_Model
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