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Update app.py

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  1. app.py +1 -0
app.py CHANGED
@@ -29,6 +29,7 @@ print(inference)
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  Image classification is applicable in scenarios where you are interested in only classifying an object in an image without localizing it.
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  For example, you can build an image classification model to classify products in a store.
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  [Want to train a sparse model on your data? Checkout the documentation on sparse transfer learning](https://docs.neuralmagic.com/use-cases/image-classification/sparsifying)
 
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  '''
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  task = "image_classification"
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  Image classification is applicable in scenarios where you are interested in only classifying an object in an image without localizing it.
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  For example, you can build an image classification model to classify products in a store.
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  [Want to train a sparse model on your data? Checkout the documentation on sparse transfer learning](https://docs.neuralmagic.com/use-cases/image-classification/sparsifying)
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+
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  '''
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  task = "image_classification"
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