You have to create a model instance and then load the saved weights as statdict:
model = MyModel() 
model.load_state_dict(torch.load('model_best.pth.tar')['state_dict'])

The statedict itself is only a dict containing the tensor names and the corresponding weights. It has no information of the model’s structure.