Video Classification
Keras
deepfake-detection
explainable-ai
image-classification
grad-cam
efficientnet
faceforensics
tensorflow
Instructions to use mertkayacs/xdfdet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use mertkayacs/xdfdet 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://mertkayacs/xdfdet") - Notebooks
- Google Colab
- Kaggle
Download aug-cutout-white.keras from mertkayacs/xdfdet: direct link, hf CLI and curl.
- Browser
- Download file 72.4 MB
-
https://huggingface.co/mertkayacs/xdfdet/resolve/main/aug-cutout-white.keras
- Command line
-
hf download hf://mertkayacs/xdfdet/aug-cutout-white.keras
-
curl -L -o aug-cutout-white.keras https://huggingface.co/mertkayacs/xdfdet/resolve/main/aug-cutout-white.keras
72.4 MB
- Xet hash:
- 5fd3e30346336d9e13a3d5182dd585458088f54f9b4bf0c4cd00372f9009a0ef
- Size of remote file:
- 72.4 MB
- SHA256:
- e9d10cc5eb99d378da6d29ca3cfdf0564dc83fdc751ba413836c61b4ce4f57e5
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