I tried following tokenization example:
tokenizer = BertTokenizer.from_pretrained(MODEL_TYPE, do_lower_case=True)
sent = "I hate this. Not that.",        
_tokenized = tokenizer(sent, padding=True, max_length=20, truncation=True)
print(_tknzr.decode(_tokenized['input_ids'][0]))
print(len(_tokenized['input_ids'][0]))

The output was:
[CLS] i hate this. not that. [SEP]
9

Notice the parameter to tokenizer: max_length=20. How can I make Bert tokenizer to append 11 [PAD] tokens to this sentence to make it total 20?