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license: mit task: image-classification tags:
- deepfake-detection
Deepfake Image Detector (v2)
Model Details
- Base Model:
google/vit-base-patch16-224 - Classes:
0_real,1_fake - Test Accuracy: 99.28%
- Training Samples: 100,000
- Validation Samples: 20,000
Usage
from transformers import ViTForImageClassification, ViTFeatureExtractor
model = ViTForImageClassification.from_pretrained('shivani1511/deepfake-image-detector-v2')
feature_extractor = ViTFeatureExtractor.from_pretrained('shivani1511/deepfake-image-detector-v2')
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