documentation from [`PretrainedConfig`] for more information.

    Args:
    semantic_config ([`BarkSemanticConfig`], *optional*):
        Configuration of the underlying semantic sub-model.
    coarse_acoustics_config ([`BarkCoarseConfig`], *optional*):
        Configuration of the underlying coarse acoustics sub-model.
    fine_acoustics_config ([`BarkFineConfig`], *optional*):
        Configuration of the underlying fine acoustics sub-model.
    codec_config ([`AutoConfig`], *optional*):
        Configuration of the underlying codec sub-model.

    Example:

    ```python
    >>> from transformers import (
    ...     BarkSemanticConfig,
    ...     BarkCoarseConfig,
    ...     BarkFineConfig,
    ...     BarkModel,
    ...     BarkConfig,
    ...     AutoConfig,
    ... )

    >>> # Initializing Bark sub-modules configurations.
    >>> semantic_config = BarkSemanticConfig()
    >>> coarse_acoustics_config = BarkCoarseConfig()
    >>> fine_acoustics_config = BarkFineConfig()
    >>> codec_config = AutoConfig.from_pretrained("facebook/encodec_24khz")


    >>> # Initializing a Bark module style configuration
    >>> configuration = BarkConfig.from_sub_model_configs(
    ...     semantic_config, coarse_acoustics_config, fine_acoustics_config, codec_config
    ... )

    >>> # Initializing a model (with random weights)
    >>> model = BarkModel(configuration)

    >>> # Accessing the model configuration
    >>> configuration = model.config
    ```
    r-