code: def __init__(self):
      super(U2Conformer, self).__init__()
      self.asr_executor = ASRExecutor()
      self.asr_kw_args = {
          "model": "conformer_wenetspeech",
          "lang": "zh",
          "sample_rate": 16000,
          "config": None,  # Set `config` and `ckpt_path` to None to use pretrained model.
          "ckpt_path": None,
      }
  
file_path: PaddleHub/modules/audio/asr/u2_conformer_wenetspeech/module.py
imports: import os
  import paddle
  from paddleaudio import load, save_wav
  from paddlespeech.cli import ASRExecutor
  from paddlehub.module.module import moduleinfo, serving
  from paddlehub.utils.log import logger
label_desc: Use image node_id 1 to create a new U2Conformer object from inherited base classes: paddle.nn with example: obj = U2Conformer()