will default to the corresponding stages.
            If unset and `out_features` is unset, will default to the last stage.
        apply_layernorm (`bool`, *optional*, defaults to `True`):
            Whether to apply layer normalization to the feature maps in case the model is used as backbone.
        reshape_hidden_states (`bool`, *optional*, defaults to `True`):
            Whether to reshape the feature maps to 4D tensors of shape `(batch_size, hidden_size, height, width)` in
            case the model is used as backbone. If `False`, the feature maps will be 3D tensors of shape `(batch_size,
            seq_len, hidden_size)`.

    Example:

    ```python
    >>> from transformers import Dinov2Config, Dinov2Model

    >>> # Initializing a Dinov2 dinov2-base-patch16-224 style configuration
    >>> configuration = Dinov2Config()

    >>> # Initializing a model (with random weights) from the dinov2-base-patch16-224 style configuration
    >>> model = Dinov2Model(configuration)

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