These require two different sequences to be joined in a single "input_ids" entry, which usually is performed with the
help of special tokens, such as the classifier ([CLS]) and separator ([SEP]) tokens. For example, the BERT model
builds its two sequence input as such:
thon

[CLS] SEQUENCE_A [SEP] SEQUENCE_B [SEP]

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