https://atheros.ai/blog/text-classification-with-transformers-in-tensorflow-2

tokenizer_encode_plus.py

bert_input = tokenizer.encode_plus(
                        test_sentence,                      
                        add_special_tokens = True, # add [CLS], [SEP]
                        max_length = max_length_test, # max length of the text that can go to BERT
                        pad_to_max_length = True, # add [PAD] tokens
                        return_attention_mask = True, # add attention mask to not focus on pad tokens
              )
print('encoded', bert_input)