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) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("DaMsTaR/Detecto-DeepFake_Video_Detector") - Notebooks
- Google Colab
- Kaggle
Configuration
title: string
Display title for the Space
emoji: string
Space emoji (emoji-only character allowed)
colorFrom: string
Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
colorTo: string
Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
sdk: string
Can be either gradio, streamlit, or static
sdk_version : string
Only applicable for streamlit SDK.
See doc for more info on supported versions.
app_file: string
Path to your main application file (which contains either gradio or streamlit Python code, or static html code).
Path is relative to the root of the repository.
pinned: boolean
Whether the Space stays on top of your list.
- Downloads last month
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# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("DaMsTaR/Detecto-DeepFake_Video_Detector")