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 assets/strip-training.webp from mertkayacs/xdfdet: direct link, hf CLI and curl.
- Browser
- Download file 118 kB
-
https://huggingface.co/mertkayacs/xdfdet/resolve/main/assets/strip-training.webp
- Command line
-
hf download hf://mertkayacs/xdfdet/assets/strip-training.webp
-
curl -L -o strip-training.webp https://huggingface.co/mertkayacs/xdfdet/resolve/main/assets/strip-training.webp
118 kB

- Xet hash:
- 658f1d42984060ac9c58a893f2e55376fa15d9120efc9318ac8480124d67216c
- Size of remote file:
- 118 kB
- SHA256:
- d2f6bb2a4dbe740eddeef70d86a13d4f63e7d9c737661240443fc5f985fa9195
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