Instructions to use yyouretoast/deepfake-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use yyouretoast/deepfake-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://yyouretoast/deepfake-detection") - Notebooks
- Google Colab
- Kaggle
Add deepfake detection model weights (EfficientNetB0, 90.4% accuracy, FaceForensics++)
f168047 verified - Xet hash:
- c6c5a8a1c74806e6bdaaac1d9128b6a2f2e5cf420ea2693371a43f4038a72f0a
- Size of remote file:
- 55.3 MB
- SHA256:
- e9c8470b14c5ee4cf7e7bb00d5a93495f34400f8f85e42de4526783281b3d8e1
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