I used the fastai library to build a trivial classificator with resnet18.
learner = cnn_learner(data, models.resnet18, metrics=accuracy, pretrained=False)
After some training the net is 135 MB big after saving it to disk. If I use
pretrained=True (default) the net is “just” 50 MB.
Why is there such a huge difference in size?