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vit-tiny-patch16-224

Image Classification Transformers PyTorch Safetensors
vit vision Inference Endpoints
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- ---
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- license: apache-2.0
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- tags:
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- - vision
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- - image-classification
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- datasets:
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- - imagenet
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- widget:
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- - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
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- example_title: Tiger
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- - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
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- example_title: Teapot
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- - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
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- example_title: Palace
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- ---
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-
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- Google didn't publish vit-tiny and vit-small model checkpoints in Hugging Face. I converted the weights from the [timm repository](https://github.com/rwightman/pytorch-image-models). This model is used in the same way as [ViT-base](https://huggingface.co/google/vit-base-patch16-224).
 
 
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+ ---
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+ license: apache-2.0
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+ tags:
4
+ - vision
5
+ - image-classification
6
+ datasets:
7
+ - imagenet
8
+ widget:
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+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
10
+ example_title: Tiger
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+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
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+ example_title: Teapot
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+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
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+ example_title: Palace
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+ ---
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+
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+ Google didn't publish vit-tiny and vit-small model checkpoints in Hugging Face. I converted the weights from the [timm repository](https://github.com/rwightman/pytorch-image-models). This model is used in the same way as [ViT-base](https://huggingface.co/google/vit-base-patch16-224).
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+
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+ Note that [safetensors] model requires torch 2.0 environment.