[Question]Loading NeMo token classification model for named entity recognition
I did the Token_Classification_Named_Entity_Recognition tutorial, saved the model as .nemo and now I'm trying to load up the model on another notebook.

[](https://github.com/NVIDIA/NeMo/blob/main/tutorials/nlp/Token_Classification_Named_Entity_Recognition.ipynb)

I saved it with pytorch's suggestion,
` torch.save(model.state_dict(), PATH)` 
and trying to load with:
`model = TheModelClass(*args, **kwargs) model.load_state_dict(torch.load(PATH)) model.eval()`

But I don't have the model class, how else may I do it?

(edit)
Do I have to instantiate with,
`model_from_scratch = nemo_nlp.models.TokenClassificationModel(cfg=config.model, trainer=trainer)`
to do 
`model = model_from_scratch`
`model.load_state_dict(torch.load(model_file)`
