Update README.md

README.md

@@ -28,12 +28,12 @@ from PIL import Image
 from urllib.request import urlopen
 model = timm.create_model("hf-hub:BVRA/tf_efficientnet_b1.in1k_ft_df20m_299", pretrained=True)
 model = model.eval()
-train_transforms = T.Compose([T.Resize(299), 
+train_transforms = T.Compose([T.Resize((299, 299)), 
                               T.ToTensor(), 
                               T.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5])]) 
 img = Image.open(PATH_TO_YOUR_IMAGE)
 output = model(train_transforms(img).unsqueeze(0))  # output is (batch_size, num_features) shaped tensor
-# output is a (1, num_features) shaped tensor
+
 ```
 
 ## Citation