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@@ -4,9 +4,11 @@ datasets:
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  - ILSVRC/imagenet-1k
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- # Vision Transformer (large-sized model) trained using DINOv2 on ImageNet-1K only
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- Reproduction of the ViT-L/16 results from the [DINOv2 repo](https://github.com/facebookresearch/dinov2/blob/main/dinov2/configs/train/vitl16_short.yaml)
 
 
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  ### How to use
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  - ILSVRC/imagenet-1k
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  ---
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+ # Vision Transformer (ViT) trained using DINOv2 on ImageNet-1K only
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+ Reproduction of the ViT-L/16 results from the [DINOv2 repo](https://github.com/facebookresearch/dinov2/blob/main/dinov2/configs/train/vitl16_short.yaml) (which uses only ImageNet-1K in 224x224 resolution).
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+ The [original](https://huggingface.co/facebook/dinov2-large) work uses the much larger LVD142M dataset and distills a larger model (g/14) into a L/14 model.
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  ### How to use
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