use the explicit v1 form

app.py

@@ -8,15 +8,15 @@ os.system("wget https://raw.githubusercontent.com/pytorch/hub/master/imagenet_cl
 
 
 import torch
-model = torch.hub.load("coderx7/simplenet_pytorch","simplenetv1_5m_m2", pretrained=True)
+model = torch.hub.load("coderx7/simplenet_pytorch:v1.0.0","simplenetv1_5m_m2", pretrained=True)
 # or any of these variants
-# model = torch.hub.load("coderx7/simplenet_pytorch","simplenetv1_5m_m2", pretrained=True)
-# model = torch.hub.load("coderx7/simplenet_pytorch","simplenetv1_9m_m1", pretrained=True)
-# model = torch.hub.load("coderx7/simplenet_pytorch","simplenetv1_9m_m2", pretrained=True)
-# model = torch.hub.load("coderx7/simplenet_pytorch","simplenetv1_small_m1_05", pretrained=True)
-# model = torch.hub.load("coderx7/simplenet_pytorch","simplenetv1_small_m2_05", pretrained=True)
-# model = torch.hub.load("coderx7/simplenet_pytorch","simplenetv1_small_m1_075", pretrained=True)
-# model = torch.hub.load("coderx7/simplenet_pytorch","simplenetv1_small_m2_075", pretrained=True)
+# model = torch.hub.load("coderx7/simplenet_pytorch:v1.0.0","simplenetv1_5m_m2", pretrained=True)
+# model = torch.hub.load("coderx7/simplenet_pytorch:v1.0.0","simplenetv1_9m_m1", pretrained=True)
+# model = torch.hub.load("coderx7/simplenet_pytorch:v1.0.0","simplenetv1_9m_m2", pretrained=True)
+# model = torch.hub.load("coderx7/simplenet_pytorch:v1.0.0","simplenetv1_small_m1_05", pretrained=True)
+# model = torch.hub.load("coderx7/simplenet_pytorch:v1.0.0","simplenetv1_small_m2_05", pretrained=True)
+# model = torch.hub.load("coderx7/simplenet_pytorch:v1.0.0","simplenetv1_small_m1_075", pretrained=True)
+# model = torch.hub.load("coderx7/simplenet_pytorch:v1.0.0","simplenetv1_small_m2_075", pretrained=True)
 model.eval()
 
 # Download an example image from the pytorch website