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  # **AI-vs-Deepfake-vs-Real-Siglip2**
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- **AI-vs-Deepfake-vs-Real-Siglip2** is an image classification vision-language encoder model fine-tuned from **google/siglip2-base-patch16-224** for a single-label classification task. It is designed to **distinguish AI-generated images, deepfake images, and real images** using the **SiglipForImageClassification** architecture.
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  The model categorizes images into three classes:
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  - **Class 0:** "AI" – The image is fully AI-generated, created by machine learning models.
 
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  # **AI-vs-Deepfake-vs-Real-Siglip2**
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+ **AI-vs-Deepfake-vs-Real-Siglip2** is an image classification vision-language encoder model fine-tuned from google/siglip2-base-patch16-224 for a single-label classification task. It is designed to distinguish AI-generated images, deepfake images, and real images using the SiglipForImageClassification architecture.
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  The model categorizes images into three classes:
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  - **Class 0:** "AI" – The image is fully AI-generated, created by machine learning models.