code: def __init__(self, config, *args, **kwargs):
      tokenizer_config = config.tokenizer_config
      self._tokenizer = AutoTokenizer.from_pretrained(
          tokenizer_config.type, **tokenizer_config.params
      )
  
      self._max_seq_length = config.max_seq_length
      self._probability = config.get("mask_probability", 0.15)
  
imports: import copy
  import random
  from typing import Any, Dict, List, Optional, Tuple, Union
  import torch
  from mmf.common.registry import registry
  from mmf.common.sample import Sample, SampleList
  from mmf.datasets.processors.processors import BaseProcessor
label_desc: Use image node_id 1 to create a new MaskedTokenProcessor object from inherited base classes: BaseProcessor with example: obj = MaskedTokenProcessor(config)