the spatial resolution by in the decoder head for masked image modeling.
        out_features (`List[str]`, *optional*):
            If used as backbone, list of features to output. Can be any of `"stem"`, `"stage1"`, `"stage2"`, etc.
            (depending on how many stages the model has). If unset and `out_indices` is set, will default to the
            corresponding stages. If unset and `out_indices` is unset, will default to the last stage.
        out_indices (`List[int]`, *optional*):
            If used as backbone, list of indices of features to output. Can be any of 0, 1, 2, etc. (depending on how
            many stages the model has). If unset and `out_features` is set, will default to the corresponding stages.
            If unset and `out_features` is unset, will default to the last stage.

    Example:

    ```python
    >>> from transformers import FocalNetConfig, FocalNetModel

    >>> # Initializing a FocalNet microsoft/focalnet-tiny style configuration
    >>> configuration = FocalNetConfig()

    >>> # Initializing a model (with random weights) from the microsoft/focalnet-tiny style configuration
    >>> model = FocalNetModel(configuration)

    >>> # Accessing the model configuration
    >>> configuration = model.config
    ```Zfocalnetéŕ