code: def predict_batch(self, texts, verbose=False):
      return self.learner.predict_batch(texts, verbose=verbose)
  
imports: import torch
  from pathlib import Path
  from .onnx_helper import load_model
  from .learner_ner import group_entities
  from .data_ner import get_labels
  from transformers import AutoTokenizer
  import numpy
  import warnings
label_desc: Use image node_id 3 for calling the BertClassificationPredictor obj's underlying member method code with example usage: obj.predict_batch(texts, verbose) and returns: self