# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("Wvolf/ViT_Deepfake_Detection")
model = AutoModelForImageClassification.from_pretrained("Wvolf/ViT_Deepfake_Detection")Quick Links
This model was trained by Rudolf Enyimba in partial fulfillment of the requirements of Solent University for the degree of MSc Artificial Intelligence and Data Science
This model was trained to detect deepfake images.
The model achieved an accuracy of 98.70% on the test set.
Upload a face image or pick from the samples below to test model accuracy
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Wvolf/ViT_Deepfake_Detection") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")