how to get the aspects from the trained model and domain dataset?

[userdsr]

I used the trained model ,which was saved during training. The code is

model = torch.load("xxxxx/xxxxx.bin")
aspects = model.get_aspect_words(w2v_model, logger,topn=10)

Is this the right way to get the aspects ?
thank you very much.