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README.md
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license: apache-2.0
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datasets:
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- cifar10
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- cifar100
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- imagenet
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- imagenet-21k
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- oxford-iiit-pets
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- oxford-flowers-102
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- vtab
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# Data-efficient Image Transformer base model
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Data-efficient Image Transformer (DeiT) model pre-trained and fine-tuned on ImageNet-1k (1 million images, 1,000 classes) at resolution 384x384. It was first introduced in the paper [Training data-efficient image transformers & distillation through attention](https://arxiv.org/abs/2012.12877) by Touvron et al. and first released in [this repository](https://github.com/facebookresearch/deit). However, the weights were converted from the [timm repository](https://github.com/rwightman/pytorch-image-models) by Ross Wightman.
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license: apache-2.0
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tags:
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- image-classification
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- timm
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datasets:
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- imagenet
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# Data-efficient Image Transformer (base-sized model)
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Data-efficient Image Transformer (DeiT) model pre-trained and fine-tuned on ImageNet-1k (1 million images, 1,000 classes) at resolution 384x384. It was first introduced in the paper [Training data-efficient image transformers & distillation through attention](https://arxiv.org/abs/2012.12877) by Touvron et al. and first released in [this repository](https://github.com/facebookresearch/deit). However, the weights were converted from the [timm repository](https://github.com/rwightman/pytorch-image-models) by Ross Wightman.
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