code: def xlmr_base():
      cfg = roberta_base()
      cfg.defrost()
      cfg.MODEL.vocab_size = 250002
      cfg.freeze()
      return cfg
  
file_path: gluon-nlp/src/gluonnlp/models/xlmr.py
imports: from typing import Tuple
  import os
  from mxnet import use_np
  from .roberta import RobertaModel, RobertaForMLM, roberta_base, roberta_large
  from ..base import get_model_zoo_home_dir, get_repo_model_zoo_url, get_model_zoo_checksum_dir
  from ..utils.config import CfgNode
  from ..utils.registry import Registry
  from ..utils.misc import load_checksum_stats, download
  from .base import BACKBONE_REGISTRY
  from ..data.tokenizers import SentencepieceTokenizer
label_desc: Use image node_id 1 for calling a global function with example usage: xlmr_base() and returns: cfg