code: def runTest(self):
      document_assembler = (
          DocumentAssembler()
          .setInputCol("text")
          .setOutputCol("document")
      )
  
      tokenizer = (
          Tokenizer().setInputCols(["document"]).setOutputCol("token")
      )
  
      token2chunk = (
          Token2Chunk()
          .setInputCols(["token"])
          .setOutputCol("token_chunk")
      )
  
      pipeline = Pipeline(
          stages=[document_assembler, tokenizer, token2chunk]
      )
  
      model = pipeline.fit(self.data)
      model.write().overwrite().save("./tmp_date2chunk_model")
      PipelineModel.load("./tmp_date2chunk_model").transform(self.data)
  
file_path: spark-nlp/python/test/annotator/token2_chunk_test.py
imports: import unittest
  import pytest
  from sparknlp.annotator import *
  from sparknlp.base import *
  from test.util import SparkContextForTest
  from pyspark.sql.types import StringType
label_desc: Use image node_id 2 for calling the Token2ChunkTestSpec obj's underlying member method code with example usage: obj.runTest() without return types