how to save a fine tuned model and load it back?[Question]
You can use .save_to/.restore_from methods to save to and restore from ".nemo" file. 
".nemo" file is a simply ".tar.gz" file (you can rename it to tar.gz and unpack) with checkpoint weights, configuration yaml which was used and (for some models) additional artifacts such as tokenizer's vocabulary, etc. 
hi
I am trying to save the model after fine tuning by using:  torch.save(quartznet,'fine_tuned2.pt')
but I get this error:
AttributeError: Can't pickle local object 'FilterbankFeatures.__init__.<locals>.<lambda>'
how can I save the model and load it back again?
thanks
Niloo
