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@@ -57,7 +57,8 @@ You can also choose "active regions" to get a general pool for testing.
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  The ViT model was pretrained on a dataset consisting of 14 million images and 21k classes ([ImageNet-21k](http://www.image-net.org/).
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  More information on the base model used can be found here: (https://huggingface.co/google/vit-base-patch16-224-in21k)
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- ## How to use this Model
 
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  ```python
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  !pip install transformers --quiet
 
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  The ViT model was pretrained on a dataset consisting of 14 million images and 21k classes ([ImageNet-21k](http://www.image-net.org/).
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  More information on the base model used can be found here: (https://huggingface.co/google/vit-base-patch16-224-in21k)
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+ ## How to use this Model
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+ (quick snippet to work on Google Colab - comment the pip install for local use if you have transformers already installed)
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  ```python
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  !pip install transformers --quiet