def save_checkpoint(state, is_best, filename='checkpoint.pth.tar'):
    torch.save(state, filename)
    if is_best:
        shutil.copyfile(filename, 'model_best.pth.tar')


save_checkpoint({
                'epoch': epoch + 1,
                'arch': args.arch,
                'state_dict': model.state_dict(),
                'best_prec1': best_prec1,
                'optimizer': optimizer.state_dict()
            }, is_best)

I am saving my model like this. How can I load back the model so that I can use it in other places, like cnn visualization?
This is how I am loading the model now:
torch.load('model_best.pth.tar')

But when I do this, I get this error:

AttributeError: ‘dict’ object has no attribute ‘eval’

What am I missing here???