class_docstr: Extension of SPMTokenizer which supports multiple sentences.
  Similar to MultiSentenceBertTokenizer.
class_docstr_tok: ["Extension","of","SPMTokenizer","which","supports","multiple","sentences",".","Similar","to","MultiSentenceBertTokenizer","."]
code: def __init__(self, config, *args, **kwargs):
      self.fusion_strategy = config.get("fusion", "concat")
      self.tokenizer = RobertaTokenizer(config, *args, **kwargs)
      self._probability = config.get("mask_probability", 0)
  
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 MultiSentenceRobertaTokenizer object from inherited base classes: MultiSentenceBertTokenizer with example: obj = MultiSentenceRobertaTokenizer(config)