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  - deep-fake
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  - detectioon
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  ---
 
 
 
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  # **Deep-Fake-Detector-Model**
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  # **Overview**
@@ -48,7 +51,7 @@ result = pipe("path_to_image.jpg")
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  print(result)
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  ```
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- #### **Inference with PyTorch**
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  ```python
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  from transformers import ViTForImageClassification, ViTImageProcessor
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  from PIL import Image
@@ -102,7 +105,7 @@ The model is trained on a specific dataset and may not generalize well to other
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  - Improve generalization by training on larger and more diverse datasets.
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  - Incorporate explainability techniques to provide insights into model predictions.
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- # **Citation **
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  ```bibtex
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  @misc{Deep-Fake-Detector-Model,
 
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  - deep-fake
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  - detectioon
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  ---
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+
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+ ![df[ViT].gif](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/Xbuv-x40-l3QjzWu5Yj2F.gif)
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+
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  # **Deep-Fake-Detector-Model**
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  # **Overview**
 
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  print(result)
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  ```
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+ # **Inference with PyTorch**
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  ```python
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  from transformers import ViTForImageClassification, ViTImageProcessor
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  from PIL import Image
 
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  - Improve generalization by training on larger and more diverse datasets.
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  - Incorporate explainability techniques to provide insights into model predictions.
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+ # **Citation**
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  ```bibtex
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  @misc{Deep-Fake-Detector-Model,