code: def __init__(self, cfg_arch_container: dict = {}, **kwargs):
      self.arch = cfg_arch_container
      super().__init__(**kwargs)
  
imports: import torch
  from transformers import PretrainedConfig, PreTrainedModel
  from transformers import AutoConfig, AutoModel, AutoModelForMaskedLM, AutoModelForSequenceClassification, AutoModelForTokenClassification
  from typing import Optional
  from omegaconf import OmegaConf
  from .fff import FFF
  from .components import _get_norm_fn, _get_nonlin_fn, EmbeddingComponent, PoolingComponent, PredictionHeadComponent, GLU, get_extended_attention_mask, _init_module
  from .attention import get_attention_mechanism
label_desc: Use image node_id 1 to create a new crammedBertConfig object from inherited base classes: PretrainedConfig with example: obj = crammedBertConfig(cfg_arch_container)