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 cutout-black.keras from mertkayacs/xdfdet: direct link, hf CLI and curl.
- Browser
- Download file 72.4 MB
-
https://huggingface.co/mertkayacs/xdfdet/resolve/main/cutout-black.keras
- Command line
-
hf download hf://mertkayacs/xdfdet/cutout-black.keras
-
curl -L -o cutout-black.keras https://huggingface.co/mertkayacs/xdfdet/resolve/main/cutout-black.keras
72.4 MB
- Xet hash:
- d4e3973b0e44a5e97c0db124f5fc5a3d2911c2073cb88540690acb532edeaaba
- Size of remote file:
- 72.4 MB
- SHA256:
- 0d2e5cd08e681c8f9324a6f480d98549b66cffbaf710378581cb982b93d2663b
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