rom_pretrained("bert-base-cased")
        >>> config.is_decoder = True
        >>> model = QDQBertLMHeadModel.from_pretrained("bert-base-cased", config=config)

        >>> inputs = tokenizer("Hello, my dog is cute", return_tensors="pt")
        >>> outputs = model(**inputs)

        >>> prediction_logits = outputs.logits
        ```NF)