Update model.py

model.py

@@ -4,20 +4,17 @@ import torchvision
 from torch import nn
 
 
-def create_effnetv2(num_classes:int=101,
+def create_ViT(num_classes:int=126,
                     seed:int=42):
 
-    weights = torchvision.models.EfficientNet_V2_M_Weights.DEFAULT
-    transforms = weights.transforms()
-    model = torchvision.models.efficientnet_v2_m(weights=weights)
+  weights = torchvision.models.ViT_B_16_Weights.DEFAULT
+  transforms = weights.transforms()
+  model = torchvision.models.vit_b_16(weights=weights)
 
-    for param in model.parameters():
-        param.requires_grad = False
+  for param in model.parameters():
+      param.requires_grad = False
 
-    torch.manual_seed(seed)
-    model.classifier = nn.Sequential(
-        nn.Dropout(p=0.3, inplace=True),
-        nn.Linear(in_features=1280, out_features=num_classes),
-    )
+  torch.manual_seed(seed)
+  model.heads = nn.Sequential(nn.Linear(in_features=768, out_features=num_classes))
 
-    return model, transforms
+  return model, transforms