code: def __init__(
      self,
      num_classes,
      bert_config_file,
      init_checkpoint=None,
      use_one_hot_embeddings=False,
      optimizer=None,
      model_dir=None,
  ):
      super(BERTClassifier, self).__init__(
          model_fn=make_bert_classifier_model_fn(optimizer),
          bert_config_file=bert_config_file,
          init_checkpoint=init_checkpoint,
          use_one_hot_embeddings=use_one_hot_embeddings,
          model_dir=model_dir,
          num_classes=num_classes,
      )
  
imports: from bigdl.orca.tfpark.text.estimator import *
label_desc: Use image node_id 1 to create a new BERTClassifier object from inherited base classes: BERTBaseEstimator with example: obj = BERTClassifier(num_classes, bert_config_file, init_checkpoint, use_one_hot_embeddings, optimizer, model_dir)