Instructions to use DriveMyScream/Image_Colorization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use DriveMyScream/Image_Colorization with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://DriveMyScream/Image_Colorization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 874646d6a170a7270aabd156c92ce6cf24ebce64e818873db3c9368c23c89ae8
- Size of remote file:
- 235 MB
- SHA256:
- 290d8067a79fd72167d95a876f67da8c571995e76cd1269d9406689c342aa78e
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