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@@ -95,3 +95,16 @@ with torch.no_grad():
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  # Get emotion label
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  predicted_emotion = idx2label[predicted.item()]
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  print(f"Predicted Emotion: {predicted_emotion}")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # Get emotion label
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  predicted_emotion = idx2label[predicted.item()]
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  print(f"Predicted Emotion: {predicted_emotion}")
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+ ```
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+
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+ ## Citation
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+
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+ If you use this model in your research, please cite:
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+
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+ ```bibtex
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+ @article{zalcher2025don,
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+ title={Don't Judge Before You CLIP: A Unified Approach for Perceptual Tasks},
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+ author={Zalcher, Amit and Wasserman, Navve and Beliy, Roman and Heinimann, Oliver and Irani, Michal},
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+ journal={arXiv preprint arXiv:2503.13260},
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+ year={2025}
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+ }