class_docstr: Transformers handler class for  MMFTransformerWithVideoAudio model.
class_docstr_tok: ["Transformers","handler","class","for","MMFTransformerWithVideoAudio","model","."]
code: def __init__(self):
      super(MMFHandler, self).__init__()
      self.initialized = False
  
imports: import json
  import logging
  import os
  import pickle
  import sys
  import ast
  import torch
  from ts.torch_handler.base_handler import BaseHandler
  import io
  import torchaudio
  import torchvision
  from omegaconf import OmegaConf
  import pandas
  import csv
  from torchvision import transforms
  from torchvision.datasets.vision import VisionDataset
  from torchvision.io import read_video_timestamps, read_video
  from mmf.common.sample import Sample, SampleList
  from mmf.utils.env import set_seed, setup_imports
  from mmf.utils.logger import setup_logger, setup_very_basic_config
  from mmf.datasets.base_dataset import BaseDataset
  from mmf.utils.build import build_encoder, build_model, build_processors
  from mmf.datasets.mmf_dataset_builder import MMFDatasetBuilder
  from torch.utils.data import IterableDataset
  from mmf.utils.configuration import load_yaml
  from mmf.models.mmf_transformer import MMFTransformer
label_desc: Use image node_id 1 to create a new MMFHandler object from inherited base classes: BaseHandler with example: obj = MMFHandler()