from transformers import GPT2Tokenizer tokenizer = GPT2Tokenizer.from_pretrained('gpt2') text = "The quick brown fox jumped over the lazy dog." tokens = tokenizer.tokenize(text) print(tokens)In this example, we instantiate the tokenizer using the from_pretrained() method and the 'gpt2' pre-trained model. We then tokenize a sample string using the tokenize() method and print the resulting tokens. The output should be a list of subwords and special tokens. Overall, the GPT2Tokenizer is a useful tool for quickly preprocessing text data for machine learning and NLP tasks.