docstr: raw_contents contains a list of text
docstr_tok: ["raw_contents","contains","a","list","of","text"]
code: def predict(self, raw_contents: List[str], batch_size=1):
      """raw_contents contains a list of text"""
      self.model.eval()
      ret = self.inference_tool.predict(
          raw_contents=raw_contents, batch_size=batch_size
      )
      return ret
  
imports: import argparse
  import os
  from typing import List
  import numpy
  import torch
  import torch.backends.cudnn
  import torch.multiprocessing
  import yaml
  from nltk.tokenize import word_tokenize
  from graph4nlp.pytorch.data.dataset import Text2LabelDataItem, Text2LabelDataset
  from graph4nlp.pytorch.inference_wrapper.classifier_inference_wrapper import ClassifierInferenceWrapper
  from graph4nlp.pytorch.modules.utils import constants
  from .run_text_classifier import TextClassifier
label_desc: Use image node_id 3 for calling the ModelHandler obj's underlying member method code with example usage: obj.predict(raw_contents, batch_size) and returns: ret