How to save a model in Pytorch similar to saving a model in Tensorflow?

Question

Python

I need to save the pytorch model for subsequent prediction on new data, in order to load the model and use it in the same way as it is in tensorflow:

model = keras.models.load_model('path/to/location')
prediction = model.predict(my_new_record)

but when i do the same in python:

model = torch.load('model.pt')
prediction = model(my_new_record)

then I get:

TypeError: 'collections.OrderedDict' object is not callable

or
model.eval()
that

AttributeError: 'collections.OrderedDict' object has no attribute 'eval'

How to save the model on the python in such a way that later you don’t need to initialize TheModelClass again , but you can save any model like in tensorflow and then just load it and start using it?