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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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