class_docstr: Transformer backend wih Huggingface transformer models
class_docstr_tok: ["Transformer","backend","wih","Huggingface","transformer","models"]
docstr: Return the transformer configuration.
docstr_tok: ["Return","the","transformer","configuration","."]
code: def get_config(self):
      """Return the transformer configuration."""
      return self.transformer_config
  
imports: from copy import deepcopy
  from typing import Any, Dict, List, Type
  import torch
  from mmf.common.registry import registry
  from mmf.models.transformers.base import BaseTransformer, BaseTransformerBackend
  from mmf.modules.hf_layers import BertModelJit, replace_with_jit
  from omegaconf import OmegaConf
  from torch import nn, Tensor
label_desc: Use image node_id 5 for calling the HuggingfaceBackend obj's underlying member method code with example usage: obj.get_config() and returns: self