Thank you!! So I should just follow the standard fine-tuning methodology for classification as per Ch. 3 but use the ‘fine-tuned masked model’ as the starting checkpoint? i.e.
from transformers import TFAutoModelForSequenceClassification, AutoTokenizer

checkpoint = 'huggingface-course/distilbert-base-uncased-finetuned-imdb'

tokenizer = AutoTokenizer.from_pretrained(checkpoint)
model = TFAutoModelForSequenceClassification.from_pretrained(checkpoint, num_labels=2)

...