Update models.py

models.py

@@ -10,6 +10,8 @@ class DinoVisionTransformerClassifier(nn.Module):
 
         self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
+        # Workaround to bypass HTTP Error 403 rate limit exceeded 
+        torch.hub._validate_not_a_forked_repo=lambda a,b,c: True
         self.model = torch.hub.load("facebookresearch/dinov2", "dinov2_vitb14_lc")
         
         self.model.linear_head = nn.Sequential(