code: def create_dbpedia_pipeline():
      fetcher = FetchModel(DBPEDIA_MODEL_NAME)
      action_name = "Model download"
      err_msg = "Failed to download model"
      max_retries = 4
      retry_delay = 60
      retry_function(
          fetcher.fetch,
          action_name,
          err_msg,
          max_retries=max_retries,
          retry_delay=retry_delay,
      )
      model = AutoModelForSequenceClassification.from_pretrained(
          DBPEDIA_MODEL_NAME, num_labels=NUM_DBPEDIA_LABELS
      )
      return create_pipeline_from_model(model)
  
imports: import os
  import zipfile
  import datasets
  import pandas
  from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline
  from raiutils.common.retries import retry_function
  from responsibleai_text.common.constants import QuestionAnsweringFields
label_desc: Use image node_id 11 for calling a global function with example usage: create_dbpedia_pipeline() and returns: create_pipeline_from_model