code: def __init__(self, trainer) -> None:
      super().__init__()
      self._trainer = trainer
  
file_path: transformers/examples/research_projects/codeparrot/examples/train_complexity_predictor.py
imports: import argparse
  from copy import deepcopy
  import numpy
  from datasets import ClassLabel, DatasetDict, load_dataset
  from evaluate import load
  from transformers import AutoModelForSequenceClassification, AutoTokenizer, DataCollatorWithPadding, Trainer, TrainerCallback, TrainingArguments, set_seed
label_desc: Use image node_id 1 to create a new CustomCallback object from inherited base classes: TrainerCallback with example: obj = CustomCallback(trainer)