class_docstr: The tests below essentially check for the output format returned by HF.
  We need to ensure that it is in the format that we expect.
class_docstr_tok: ["The","tests","below","essentially","check","for","the","output","format","returned","by","HF",".","We","need","to","ensure","that","it","is","in","the","format","that","we","expect","."]
code: def test_named_entity_recognition_model_no_ner_data_exists(self):
      function_name = "HFNERModel"
      create_function_query = f"""CREATE FUNCTION {function_name}
              TYPE HuggingFace
              TASK 'ner'
          """
      execute_query_fetch_all(self.evadb, create_function_query)
  
      # running test case where ner gives no data
      select_query = f"""SELECT data, {function_name}(data)
                    FROM MyPDFs
                    WHERE page = 3
                    AND paragraph >= 1 AND paragraph <= 3;"""
      output = execute_query_fetch_all(self.evadb, select_query)
  
      # Test that output only has 1 column (data)
      self.assertEqual(len(output.frames.columns), 1)
  
      # Test that there does not exist a column with function_name.entity
      self.assertFalse(
          function_name.lower() + ".entity" in output.frames.columns
      )
  
      drop_function_query = f"DROP FUNCTION {function_name};"
      execute_query_fetch_all(self.evadb, drop_function_query)
  
imports: import unittest
  from test.util import create_text_csv, file_remove, get_evadb_for_testing
  import pytest
  from evadb.executor.executor_utils import ExecutorError
  from evadb.server.command_handler import execute_query_fetch_all
label_desc: Use image node_id 14 for calling the HuggingFaceTests obj's underlying member method code with example usage: obj.test_named_entity_recognition_model_no_ner_data_exists() without return types