code: def __init__(self):
      self.str2int = {}
      self.int2str = {}
      self.start_symbol = "<s>"
      self.end_symbol = "</s>"
      self.model_max_length = 512
      self.pad_token = "[PAD]"
  
imports: from typing import Dict, List, Union
  import numpy
  import torch
  import copy
  from transformers.file_utils import ModelOutput
  from numpy.testing import assert_array_equal
  from spacy.tokens import Doc
  from thinc.api import Model, get_current_ops
  from ..data_classes import FullTransformerBatch, HFObjects
  from ..span_getters import get_doc_spans
  from ..layers.transformer_model import forward
label_desc: Use image node_id 1 to create a new DummyTokenizer object  with example: obj = DummyTokenizer()