class_docstr: Ernie_skep_sentiment_analysis module is initialize with enie_1.0_chn_large when pretraining.
  This module is finetuned on ChnSentiCorp dataset to do sentiment claasification.
  It can do sentiment analysis prediction directly, label as positive or negative.
class_docstr_tok: ["Ernie_skep_sentiment_analysis","module","is","initialize","with","enie_1.0_chn_large","when","pretraining",".","This","module","is","finetuned","on","ChnSentiCorp","dataset","to","do","sentiment","claasification",".","It","can","do","sentiment","analysis","prediction","directly",",","label","as","positive","or","negative","."]
docstr: Run as a command
docstr_tok: ["Run","as","a","command"]
code: def run_cmd(self, argvs):
      """
      Run as a command
      """
      self.parser = argparse.ArgumentParser(
          description="Run the %s module." % self.name,
          prog="hub run %s" % self.name,
          usage="%(prog)s",
          add_help=True,
      )
  
      self.arg_input_group = self.parser.add_argument_group(
          title="Input options", description="Input data. Required"
      )
      self.arg_config_group = self.parser.add_argument_group(
          title="Config options",
          description="Run configuration for controlling module behavior, not required.",
      )
  
      self.add_module_config_arg()
      self.add_module_input_arg()
  
      args = self.parser.parse_args(argvs)
      results = self.predict_sentiment(
          texts=[args.input_text], use_gpu=args.use_gpu
      )
      return results
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import argparse
  import ast
  import os
  import numpy
  from ernie_skep_sentiment_analysis.model.ernie import ErnieConfig
  from paddle.framework import core
  from paddlehub import TransformerModule
  from paddlehub.module.module import moduleinfo
  from paddlehub.module.module import runnable
  from paddlehub.module.module import serving
  from paddlehub.reader.batching import pad_batch_data
  from paddlehub.reader.tokenization import convert_to_unicode
  from paddlehub.reader.tokenization import FullTokenizer
label_desc: Use image node_id 6 for calling the ErnieSkepSentimentAnalysis obj's underlying member method code with example usage: obj.run_cmd(argvs) and returns: results