code: def run_text_classification(self, model, data=None):
      if data is None:
          data = self.prepare_text_classification_data()
      metric = Accuracy()
      self.run_model(model, data, metric)
  
file_path: fastNLP/tests/models/torch/model_runner.py
imports: from fastNLP.envs.imports import _NEED_IMPORT_TORCH
  from fastNLP import Trainer, Evaluator, DataSet, Callback
  from fastNLP import Accuracy
  from random import randrange
  from fastNLP import TorchDataLoader
label_desc: Use image node_id 6 for calling the ModelRunner obj's underlying member method code with example usage: obj.run_text_classification(model, data) without return types