Instructions to use DaMsTaR/Detecto-DeepFake_Image_Detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DaMsTaR/Detecto-DeepFake_Image_Detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="DaMsTaR/Detecto-DeepFake_Image_Detector") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("DaMsTaR/Detecto-DeepFake_Image_Detector") model = AutoModelForImageClassification.from_pretrained("DaMsTaR/Detecto-DeepFake_Image_Detector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9746e154f2629ce409c27adaf607dedc122f426244a451a8f93070d6370ad0d7
- Size of remote file:
- 687 MB
- SHA256:
- b6e607a4af12ed0c24ffa7f37196241b56136a4f91c3ff8a7856ce31e86b43af
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