code: def create_multilabel_pipeline():
      fetcher = FetchModel(COVID19_EVENTS_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,
      )
      labels = COVID19_EVENTS_LABELS
      num_labels = len(labels)
      id2label = {idx: label for idx, label in enumerate(labels)}
      label2id = {label: idx for idx, label in enumerate(labels)}
      model = AutoModelForSequenceClassification.from_pretrained(
          COVID19_EVENTS_MODEL_NAME,
          num_labels=num_labels,
          problem_type="multi_label_classification",
          id2label=id2label,
          label2id=label2id,
      )
      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 9 for calling a global function with example usage: create_multilabel_pipeline() and returns: create_pipeline_from_model