It would not work as is.
By default from_pretrained does not use (yet) the fast tokenizers (from the tokenizers library).
What you want to do is
tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased', use_fast=True)

# The actual tokenizer from `tokenizers` is tokenizer._tokenizer as we still need a small python wrapper currently

tokenizer._tokenizer.normalizer = normalizers.NFKC()
tokenizer.tokenize("Am I working?")

Keep in mind though that this works on master. On transformers 3.3.1 it would be tokenizer._tokenizer._tokenizer.normalizer.
If you want to add a new normalizer, you would have to recreate the actual sequence (bear in mind that normalizers order has importance, so you want to carefully add it at the correct place for your use case)