code: def __init__(self, config: DictConfig, **kwargs):
      super().__init__(config, **kwargs)
  
imports: from collections import OrderedDict
  from typing import Dict
  import torch
  import torch.nn
  from einops import rearrange
  from omegaconf import DictConfig
  from pytorch_tabular.models.common.layers.batch_norm import BatchNorm1d
  from ..base_model import BaseModel
  from ..common.layers import Embedding2dLayer, TransformerEncoderBlock
label_desc: Use image node_id 1 to create a new TabTransformerModel object from inherited base classes: BaseModel with example: obj = TabTransformerModel(config)