Instructions to use Christ20/Fake_Image_Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Christ20/Fake_Image_Detection with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Christ20/Fake_Image_Detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58a28095cc239a519117ace7366959fcb571bb9ac8059bd13df0460eab1afe32
- Size of remote file:
- 10.8 MB
- SHA256:
- db61448c8203d7db0e7cd6e173626caa23e8958b77b2243d8c87f98b62a2ddab
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