code: def update_model_config(model, job_config):
      model.config._name_or_path = "AutoTrain"
      if job_config.task in ("speech_recognition", "summarization"):
          return model
      if "max_seq_length" in job_config:
          model.config.max_length = job_config.max_seq_length
          model.config.padding = "max_length"
      return model
  
imports: import glob
  import json
  import os
  import re
  import shutil
  import subprocess
  import traceback
  from typing import Dict, Optional
  import requests
  from huggingface_hub import HfApi, HfFolder
  from huggingface_hub.repository import Repository
  from transformers import AutoConfig
  from autotrain import config, logger
  from autotrain.tasks import TASKS
label_desc: Use image node_id 13 for calling a global function with example usage: update_model_config(model, job_config) and returns: model, model