the right of the transposed convolution under the `use_causal_conv = True` setup. If
            equal to 1.0, it means that all the trimming is done at the right.
        codebook_size (`int`, *optional*, defaults to 1024):
            Number of discret codes that make up VQVAE.
        codebook_dim (`int`, *optional*):
            Dimension of the codebook vectors. If not defined, uses `hidden_size`.
        use_conv_shortcut (`bool`, *optional*, defaults to `True`):
            Whether to use a convolutional layer as the 'skip' connection in the `EncodecResnetBlock` block. If False,
            an identity function will be used, giving a generic residual connection.

    Example:

    ```python
    >>> from transformers import EncodecModel, EncodecConfig

    >>> # Initializing a "facebook/encodec_24khz" style configuration
    >>> configuration = EncodecConfig()

    >>> # Initializing a model (with random weights) from the "facebook/encodec_24khz" style configuration
    >>> model = EncodecModel(configuration)

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