Pytorch transfer learning predictions

I have been following the pytorch transfer learning tutorial,and following the tutorial to my own dataset i have arrived at this

model_conv = train_model(model_conv, criterion, optimizer_conv,
                 exp_lr_scheduler, num_epochs=25)

Epoch 1/1
Epoch 24/24
train Loss: 0.8674 Acc: 0.5784
val Loss: 1.2930 Acc: 0.4583
Training complete in 43m 24s
Best val Acc: 0.486111

The tutorial ends here,but im not exaclty sure how do i get predictions for my new images?

Any suggestions would be really helpful. Thanks in advance.