docstr: Resume from the checkpoint at checkpoints in the output
  directory or load a specified checkpoint.
docstr_tok: ["Resume","from","the","checkpoint","at","checkpoints","in","the","output","directory","or","load","a","specified","checkpoint","."]
code: def resume(self, checkpoint):
      """Resume from the checkpoint at checkpoints in the output
      directory or load a specified checkpoint.
      """
      model_dict = paddle.load(checkpoint)
      self.model.set_state_dict(model_dict)
  
file_path: PaddleHub/modules/audio/asr/deepspeech2_librispeech/deepspeech_tester.py
imports: import os
  import sys
  from pathlib import Path
  import paddle
  from deepspeech.frontend.featurizer.text_featurizer import TextFeaturizer
  from deepspeech.io.collator import SpeechCollator
  from deepspeech.models.ds2 import DeepSpeech2Model
  from deepspeech.utils import mp_tools
  from deepspeech.utils.utility import UpdateConfig
label_desc: Use image node_id 5 for calling the DeepSpeech2Tester obj's underlying member method code with example usage: obj.resume(checkpoint) without return types