code: def test_hf_classification_multy(self, mock_handler):
      # create predictor
      create_sql = """
             CREATE PREDICTOR mindsdb.sentiment_classifier
             predict PRED
             USING
                  engine='huggingface',
                  join_learn_process=true,
                  task='text-classification',
                  model_name= "cardiffnlp/twitter-roberta-base-sentiment",
                  input_column = 'text_short',
                  labels=['neg','neu','pos']
          """
  
      model_name = "sentiment_classifier"
  
      predict_sql = """
              SELECT h.*
              FROM pg.df as t
              JOIN mindsdb.sentiment_classifier as h
          """
      self.hf_test_run(
          mock_handler, model_name, create_sql, predict_sql
      )
  
file_path: mindsdb/tests/unit/ml_handlers/test_huggingface.py
imports: import time
  from unittest.mock import patch
  import pandas
  from mindsdb_sql import parse_sql
  from tests.unit.executor_test_base import BaseExecutorTest
label_desc: Use image node_id 4 for calling the TestHuggingface obj's underlying member method code with example usage: obj.test_hf_classification_multy(mock_handler) without return types