class_docstr: Transformer backend wih Huggingface transformer models
class_docstr_tok: ["Transformer","backend","wih","Huggingface","transformer","models"]
code: def __init__(self, config: BaseTransformer.Config, *args, **kwargs):
      super().__init__(config)
  
      # Replace transformer layers with scriptable JIT layers
      replace_with_jit()
  
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 1 to create a new HuggingfaceBackend object from inherited base classes: BaseTransformerBackend with example: obj = HuggingfaceBackend(config)