Each tokenizer works differently but the underlying mechanism remains the same. Here's an example using the BERT
tokenizer, which is a WordPiece tokenizer:
thon

from transformers import BertTokenizer
tokenizer = BertTokenizer.from_pretrained("google-bert/bert-base-cased")
sequence = "A Titan RTX has 24GB of VRAM"

The tokenizer takes care of splitting the sequence into tokens available in the tokenizer vocabulary.
thon

tokenized_sequence = tokenizer.tokenize(sequence)