deepfake-detector-model-v1
Publicdeepfake-detector-model-v1 is a vision-language encoder model fine-tuned from siglip2-base-patch16-512 for binary deepfake image classification. It is trained to detect whether an image is real or generated using synthetic media techniques. The model uses the SiglipForImageClassification architecture.
deep-fakedetectiongooglegradiohuggingface-transformersimage-classificationsiglip2transformervision-transformer
Creat：2025-01-31T05:36:57
Update：2025-06-08T22:50:43
https://huggingface.co/prithivMLmods/deepfake-detector-model-v1
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