code: def predict(self, text, group=True, exclude_entities=["O"]):
      predictions = self.learner.predict(
          text, group=group, exclude_entities=exclude_entities
      )
      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 BertNERPredictor obj's underlying member method code with example usage: obj.predict(text, group, exclude_entities) and returns: predictions