code: def get_default_accurate(resources, lang):
      """
      A package that, if available, uses charlm and transformer models for each processor
      """
      default_processors = get_default_processors(resources, lang)
  
      if (
          "lemma" in default_processors
          and default_processors["lemma"] != "identity"
      ):
          lemma_model = default_processors["lemma"]
          lemma_model = lemma_model.replace("_nocharlm", "_charlm")
          charlm_package = get_lemma_charlm_package(lang, lemma_model)
          if charlm_package is not None:
              if lemma_model in resources[lang]["lemma"]:
                  default_processors["lemma"] = lemma_model
              else:
                  print(
                      "WARNING: wanted to use %s for %s default_accurate lemma, but that model does not exist"
                      % (lemma_model, lang)
                  )
  
      transformer = TRANSFORMER_NICKNAMES.get(
          TRANSFORMERS.get(lang, None), None
      )
      if transformer is not None:
          for processor in "pos", "depparse", "constituency":
              update_processor_add_transformer(
                  resources,
                  lang,
                  default_processors,
                  processor,
                  transformer,
              )
  
      optional = get_optional_accurate(resources, lang)
      if optional:
          default_processors["optional"] = optional
  
      return default_processors
  
imports: import argparse
  from collections import defaultdict
  import json
  import os
  from pathlib import Path
  import hashlib
  import shutil
  import zipfile
  from stanza import __resources_version__
  from stanza.models.common.constant import lcode2lang, two_to_three_letters, three_to_two_letters
  from stanza.resources.default_packages import PACKAGES, TRANSFORMERS, TRANSFORMER_NICKNAMES
  from stanza.resources.default_packages import *
  from stanza.utils.get_tqdm import get_tqdm
label_desc: Use image node_id 28 for calling a global function with example usage: get_default_accurate(resources, lang) and returns: default_processors