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/keras_metadata.pb from DaMsTaR/Detecto-DeepFake_Video_Detector: direct link, hf CLI and curl.
- Browser
- Download file 202 kB
-
https://huggingface.co/DaMsTaR/Detecto-DeepFake_Video_Detector/resolve/main/p1/keras_metadata.pb
- Command line
-
hf download hf://DaMsTaR/Detecto-DeepFake_Video_Detector/p1/keras_metadata.pb
-
curl -L -o keras_metadata.pb https://huggingface.co/DaMsTaR/Detecto-DeepFake_Video_Detector/resolve/main/p1/keras_metadata.pb
202 kB
- Xet hash:
- 49ea6bc0d696f2a6265a811b901a203b70037fade6e6c7e211032acb2bdcb6a9
- Size of remote file:
- 202 kB
- SHA256:
- 8411f85bd22de246fee31adc6bbf0a60d403ac22d8f572154fd77eb866b8daf3
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