code: def predict(self, text, verbose=False):
      predictions = self.predict_batch([text], verbose=verbose)[0]
      return predictions
  
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 4 for calling the BertClassificationPredictor obj's underlying member method code with example usage: obj.predict(text, verbose) and returns: predictions