code: def fit(
      self,
      epochs,
      lr,
      validate=True,
      schedule_type="warmup_cosine",
      optimizer_type="lamb",
  ):
      self.logger.info(
          "Irony...fit is not implmented yet. This is a pretrained-only inference model"
      )
  
imports: import os
  from .data_abs import BertAbsDataBunch
  from .learner_util import Learner
  from torch import nn
  from typing import List
  import torch
  from box import Box
  from tokenizers import BertWordPieceTokenizer
  from .summarisation import BertAbs, build_predictor
  from .summarisation import BertAbsConfig
  from fastprogress.fastprogress import master_bar, progress_bar
  import numpy
  import pandas
  from pathlib import Path
label_desc: Use image node_id 3 for calling the BertAbsLearner obj's underlying member method code with example usage: obj.fit(epochs, lr, validate, schedule_type, optimizer_type) without return types