Thank you.
Second question, how get the labels name when we predict image.
For load the model I used :
model=torch.load('aerialmodel.pth')
model.eval() 

image_tensor = transforms(image).float()
image_tensor = image_tensor.unsqueeze_(0)
input = image_tensor
input = input.to(device)
output = model(input)
index = output.data.cpu().numpy().argmax()