ok, thank you.  so simply store as a variable such as below?
tokenizerBERT = tokenizerBERT(unlabelled_dataset['paragraphs'], padding=True, truncation=True)

the reason i didn’t store it was because when i did it i could no longer save the output w/ the save_pretrained method such as shown below.
tokenizerBERT.save_pretrained(‘tokenizers/pytorch/labelled/BERT/’)
any thoughts?