code: def add_model_to_main_init(
      old_model_patterns: ModelPatterns,
      new_model_patterns: ModelPatterns,
      frameworks: Optional[List[str]] = None,
      with_processing: bool = True,
  ):
      """
      Add a model to the main init of Transformers.
  
      Args:
          old_model_patterns (`ModelPatterns`): The patterns for the old model.
          new_model_patterns (`ModelPatterns`): The patterns for the new model.
          frameworks (`List[str]`, *optional*):
              If specified, only the models implemented in those frameworks will be added.
          with_processsing (`bool`, *optional*, defaults to `True`):
              Whether the tokenizer/feature extractor/processor of the model should also be added to the init or not.
      """
      with open(
          TRANSFORMERS_PATH / "__init__.py", "r", encoding="utf-8"
      ) as f:
          content = f.read()
  
      lines = content.split("\n")
      idx = 0
      new_lines = []
      framework = None
      while idx < len(lines):
          new_framework = False
          if (
              not is_empty_line(lines[idx])
              and find_indent(lines[idx]) == 0
          ):
              framework = None
          elif (
              lines[idx]
              .lstrip()
              .startswith("if not is_torch_available")
          ):
              framework = "pt"
              new_framework = True
          elif lines[idx].lstrip().startswith("if not is_tf_available"):
              framework = "tf"
              new_framework = True
          elif (
              lines[idx].lstrip().startswith("if not is_flax_available")
          ):
              framework = "flax"
              new_framework = True
  
          if new_framework:
              # For a new framework, we need to skip until the else: block to get where the imports are.
              while lines[idx].strip() != "else:":
                  new_lines.append(lines[idx])
                  idx += 1
  
          # Skip if we are in a framework not wanted.
          if (
              framework is not None
              and frameworks is not None
              and framework not in frameworks
          ):
              new_lines.append(lines[idx])
              idx += 1
          elif (
              re.search(
                  rf'models.{old_model_patterns.model_lower_cased}( |")',
                  lines[idx],
              )
              is not None
          ):
              block = [lines[idx]]
              indent = find_indent(lines[idx])
              idx += 1
              while find_indent(lines[idx]) > indent:
                  block.append(lines[idx])
                  idx += 1
              if lines[idx].strip() in [")", "]", "],"]:
                  block.append(lines[idx])
                  idx += 1
              block = "\n".join(block)
              new_lines.append(block)
  
              add_block = True
              if not with_processing:
                  processing_classes = [
                      old_model_patterns.tokenizer_class,
                      old_model_patterns.image_processor_class,
                      old_model_patterns.feature_extractor_class,
                      old_model_patterns.processor_class,
                  ]
                  # Only keep the ones that are not None
                  processing_classes = [
                      c for c in processing_classes if c is not None
                  ]
                  for processing_class in processing_classes:
                      block = block.replace(
                          f' "{processing_class}",', ""
                      )
                      block = block.replace(
                          f', "{processing_class}"', ""
                      )
                      block = block.replace(f" {processing_class},", "")
                      block = block.replace(f", {processing_class}", "")
  
                      if processing_class in block:
                          add_block = False
              if add_block:
                  new_lines.append(
                      replace_model_patterns(
                          block, old_model_patterns, new_model_patterns
                      )[0]
                  )
          else:
              new_lines.append(lines[idx])
              idx += 1
  
      with open(
          TRANSFORMERS_PATH / "__init__.py", "w", encoding="utf-8"
      ) as f:
          f.write("\n".join(new_lines))
  
imports: import difflib
  import json
  import os
  import re
  from argparse import ArgumentParser, Namespace
  from dataclasses import dataclass
  from datetime import date
  from itertools import chain
  from pathlib import Path
  from typing import Any, Callable, Dict, List, Optional, Pattern, Tuple, Union
  import yaml
  from ..models import auto
  from ..models.auto.configuration_auto import model_type_to_module_name
  from ..utils import is_flax_available, is_tf_available, is_torch_available, logging
  from .None import BaseTransformersCLICommand
label_desc: Use image node_id 19 for calling a global function with example usage: add_model_to_main_init(old_model_patterns, new_model_patterns, frameworks, with_processing) without return types