*, defaults to `True`):
            Whether or not the model should return the last key/values attentions (not used by all models). Only
            relevant if `config.is_decoder=True`.
        classifier_dropout (`float`, *optional*):
            The dropout ratio for the classification head.

    Examples:

    ```python
    >>> from transformers import XLMRobertaXLConfig, XLMRobertaXLModel

    >>> # Initializing a XLM_ROBERTA_XL bert-base-uncased style configuration
    >>> configuration = XLMRobertaXLConfig()

    >>> # Initializing a model (with random weights) from the bert-base-uncased style configuration
    >>> model = XLMRobertaXLModel(configuration)

    >>> # Accessing the model configuration
    >>> configuration = model.config
    ```zxlm-roberta-xl