Added Torch Library

model.py

@@ -1,6 +1,6 @@
 
 # import torch
-# from torch import nn
+from torch import nn
 import torch.nn.functional as F
 import torchvision
 from torchvision.models import resnet50, ResNet50_Weights
@@ -51,7 +51,7 @@ class FlowerClassificationModel(ImageClassificationBase):
                 self.network = self.network = resnet50(weights=ResNet50_Weights.DEFAULT)
             
             else:
-                # 1. Get the base mdoel with pretrained weights and send to target device
+                # 1. Get the base model with pretrained weights and send to target device
                 self.network = torchvision.models.resnet50(pretrained=True)
 
             for param in self.network.parameters():