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Update README.md

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@@ -31,7 +31,7 @@ model = timm.create_model("hf-hub:BVRA/mobilenetv2_100.in1k_ft_df20m_299", pretr
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  model = model.eval()
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  train_transforms = T.Compose([T.Resize((299, 299)),
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  T.ToTensor(),
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- T.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5])])
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  img = Image.open(PATH_TO_YOUR_IMAGE)
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  output = model(train_transforms(img).unsqueeze(0)) # output is (batch_size, num_features) shaped tensor
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  ```
 
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  model = model.eval()
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  train_transforms = T.Compose([T.Resize((299, 299)),
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  T.ToTensor(),
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+ T.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])])
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  img = Image.open(PATH_TO_YOUR_IMAGE)
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  output = model(train_transforms(img).unsqueeze(0)) # output is (batch_size, num_features) shaped tensor
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  ```