class_docstr: Transformer backend wih Huggingface transformer models
class_docstr_tok: ["Transformer","backend","wih","Huggingface","transformer","models"]
docstr: Build the transformer base model config.
docstr_tok: ["Build","the","transformer","base","model","config","."]
code: def build_transformer_config(self):
      """Build the transformer base model config."""
      self.transformer_config = AutoConfig.from_pretrained(
          self.config.transformer_base,
          **OmegaConf.to_container(self.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 2 for calling the HuggingfaceBackend obj's underlying member method code with example usage: obj.build_transformer_config() without return types