# Dummy inference dummy_input = torch.randn(1, 3, 224, 224) # shape depends on model with torch.no_grad(): output = model(dummy_input) print('Output shape:', output.shape)
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As the 3D modeling community continues to grow, verification will remain an essential aspect of online platforms and repositories. By understanding the importance of verification, we can appreciate the value of high-quality, reliable models and the role they play in facilitating innovation and creativity. # Dummy inference dummy_input = torch
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