class_docstr: A Masked Language Model for Finetune
  
  :param config: A :py:class:`finetune.config.Settings` object or None (for default config).
  :param \**kwargs: key-value pairs of config items to override.
docstr: :param X: list or array of text.
  :param mask_proba: the likelihood of masking a subtoken.
docstr_tok: [":","param","X",":","list","or","array","of","text",".",":","param","mask_proba",":","the","likelihood","of","masking","a","subtoken","."]
code: def finetune(self, X, **kwargs):
      """
      :param X: list or array of text.
      :param mask_proba: the likelihood of masking a subtoken.
      """
      return super().finetune(X, Y=None, **kwargs)
  
imports: import tensorflow
  from tensorflow import TensorShape
  import numpy
  from finetune.errors import FinetuneError
  from finetune.base import PredictMode, BaseModel
  from finetune.base_models import RoBERTa, BERT
  from finetune.input_pipeline import BasePipeline
  from finetune.nn.target_blocks import masked_language_model
label_desc: Use image node_id 7 for calling the MaskedLanguageModel obj's underlying member method code with example usage: obj.finetune(X) and returns: super