Instructions to use manh08/Manh_deepfake_vs_real_image_detection_Manh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manh08/Manh_deepfake_vs_real_image_detection_Manh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="manh08/Manh_deepfake_vs_real_image_detection_Manh") 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("manh08/Manh_deepfake_vs_real_image_detection_Manh") model = AutoModelForImageClassification.from_pretrained("manh08/Manh_deepfake_vs_real_image_detection_Manh") - Notebooks
- Google Colab
- Kaggle
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Model tree for manh08/Manh_deepfake_vs_real_image_detection_Manh
Base model
google/vit-base-patch32-224-in21k