code: def test_hf_zero_shot_classification_finetune(self, mock_handler):
      # create predictor
      create_sql = """
           CREATE PREDICTOR mindsdb.zero_shot_tcd
              predict PREDZS
           USING
              engine='huggingface',
              join_learn_process=true,
              task="zero-shot-classification",
              model_name= "facebook/bart-large-mnli",
              input_column = "text_short",
              candidate_labels=['travel', 'cooking', 'dancing']
          """
  
      model_name = "zero_shot_tcd"
  
      predict_sql = """
              SELECT h.*
              FROM pg.df as t
              JOIN mindsdb.zero_shot_tcd as h
          """
      self.hf_test_run(
          mock_handler, model_name, create_sql, predict_sql
      )
  
      # fine tune
  
      fine_tune_sql = """
          FINETUNE mindsdb.zero_shot_tcd
          FROM pg (SELECT label, hypothesis FROM df);
          """
  
      ret = self.command_executor.execute_command(
          parse_sql(fine_tune_sql, dialect="mindsdb")
      )
  
      assert ret.error_code is None
  
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 10 for calling the TestHuggingface obj's underlying member method code with example usage: obj.test_hf_zero_shot_classification_finetune(mock_handler) without return types