code: def load_bert(model_name):
      if model_name:
          # such as: "vinai/phobert-base"
          try:
              from transformers import AutoModel
          except ImportError:
              raise ImportError(
                  "Please install transformers library for BERT support! Try `pip install transformers`."
              )
          bert_model = AutoModel.from_pretrained(model_name)
          bert_tokenizer = load_tokenizer(model_name)
          return bert_model, bert_tokenizer
      return None, None
  
imports: import math
  import logging
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn.utils.rnn import pad_packed_sequence, pack_padded_sequence, pack_sequence, PackedSequence
label_desc: Use image node_id 3 for calling a global function with example usage: load_bert(model_name) and returns: None,  None, bert_model,  bert_tokenizer