code: def test_run(self):
      document_assembler = (
          DocumentAssembler()
          .setInputCol("text")
          .setOutputCol("document")
      )
  
      tokenizer = (
          Tokenizer().setInputCols("document").setOutputCol("token")
      )
  
      token_classifier = self.tested_annotator
  
      pipeline = Pipeline(
          stages=[document_assembler, tokenizer, token_classifier]
      )
  
      model = pipeline.fit(self.data)
      model.transform(self.data).show()
  
file_path: spark-nlp/python/test/annotator/classifier_dl/camembert_for_token_classification_test.py
imports: import os
  import unittest
  import pytest
  from sparknlp.annotator import *
  from sparknlp.base import *
  from test.util import SparkContextForTest
label_desc: Use image node_id 2 for calling the CamemBertForTokenClassificationTestSpec obj's underlying member method code with example usage: obj.test_run() without return types