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  Model Name: Nike Shoes Recognizer
 
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  Original Model: Vision Transformer (ViT) model pre-trained on ImageNet-21k (14 million images, 21,843 classes) at resolution 224x224.
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  It was introduced in the paper An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale by Dosovitskiy et al. and first released in this repository.
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  Images are presented to the model as a sequence of fixed-size patches (resolution 16x16), which are linearly embedded.
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- Does not provide any fine-tuned heads, as these were zero'd by Google researchers.
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  Model Type: Image Classification
 
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  Model Architecture: Vision Transformer (ViT)
 
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  Model Name: Nike Shoes Recognizer
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  Original Model: Vision Transformer (ViT) model pre-trained on ImageNet-21k (14 million images, 21,843 classes) at resolution 224x224.
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  It was introduced in the paper An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale by Dosovitskiy et al. and first released in this repository.
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  Images are presented to the model as a sequence of fixed-size patches (resolution 16x16), which are linearly embedded.
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  Model Type: Image Classification
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  Model Architecture: Vision Transformer (ViT)