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Update README.md

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@@ -26,7 +26,7 @@ It's fine tuned on CiFAR10 for 1000 steps, and achieved accuracy of 98.7% on tes
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  <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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- ```
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  from transformers import ViTImageProcessor, ViTForImageClassification
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  from torchvision import datasets
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  <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+ ```python
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  from transformers import ViTImageProcessor, ViTForImageClassification
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  from torchvision import datasets
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