  efficient at predicting masked tokens and at NLU in general, but is not optimal for text generation.
This model was contributed by thomwolf. The original code can be found here.
BertConfig
[[autodoc]] BertConfig
    - all
BertTokenizer
[[autodoc]] BertTokenizer
    - build_inputs_with_special_tokens
    - get_special_tokens_mask
    - create_token_type_ids_from_sequences
    - save_vocabulary
BertTokenizerFast
[[autodoc]] BertTokenizerFast
Bert specific outputs
[[autodoc]] models.bert.modeling_bert.BertForPreTrainingOutput
[[autodoc]] models.bert.modeling_tf_bert.TFBertForPreTrainingOutput
[[autodoc]] models.bert.modeling_flax_bert.FlaxBertForPreTrainingOutput
BertModel
[[autodoc]] BertModel
    - forward
BertForPreTraining
[[autodoc]] BertForPreTraining
    - forward
BertLMHeadModel
[[autodoc]] BertLMHeadModel
