We can use our tokenizer to automatically generate such a sentence by passing the two sequences to tokenizer as two
arguments (and not a list, like before) like this:
thon

from transformers import BertTokenizer
tokenizer = BertTokenizer.from_pretrained("google-bert/bert-base-cased")
sequence_a = "HuggingFace is based in NYC"
sequence_b = "Where is HuggingFace based?"
encoded_dict = tokenizer(sequence_a, sequence_b)
decoded = tokenizer.decode(encoded_dict["input_ids"])

which will return:
thon