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
Commit History
-
Update README.md
Verified signaturecbb3df2 -
Upload 2 files
Verified signature63ea90a -
Delete README.md
Verified signature75d583c -
Upload 2 files
Verified signature3700c3a -
Upload 2 files
Verified signature49c0822 -
Upload 9 files
Verified signature1e4da4e -
Upload 10 files
Verified signature73074af -
initial commit
Verified signature3daf273