Instructions to use DaMsTaR/Detecto-DeepFake_Video_Detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use DaMsTaR/Detecto-DeepFake_Video_Detector with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("DaMsTaR/Detecto-DeepFake_Video_Detector") - Notebooks
- Google Colab
- Kaggle
Download p1/saved_model.pb from DaMsTaR/Detecto-DeepFake_Video_Detector: direct link, hf CLI and curl.
- Browser
- Download file 10.5 MB
-
https://huggingface.co/DaMsTaR/Detecto-DeepFake_Video_Detector/resolve/main/p1/saved_model.pb
- Command line
-
hf download hf://DaMsTaR/Detecto-DeepFake_Video_Detector/p1/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/DaMsTaR/Detecto-DeepFake_Video_Detector/resolve/main/p1/saved_model.pb
10.5 MB
- Xet hash:
- 9a33b134e4edd7524353ce17b0507bc6975a0292f5eab566f5ab25bcfdfbfcb8
- Size of remote file:
- 10.5 MB
- SHA256:
- ca17aff86eeedbeab2ace0fc42296a1fe11352c6adb418f04f96c5a3607bd28a
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