s an encoder.
        use_cache (`bool`, *optional*, 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.
        projection_hidden_act (`str`, *optional*, defaults to `"relu"`):
            The non-linear activation function (function or string) in the projection layer. If string, `"gelu"`,
            `"relu"`, `"silu"` and `"gelu_new"` are supported.
        projection_dim (`int`, *optional*, defaults to 512)
            Dimension of the projection head of the `ClapTextModelWithProjection`.

    Examples:

    ```python
    >>> from transformers import ClapTextConfig, ClapTextModel

    >>> # Initializing a CLAP text configuration
    >>> configuration = ClapTextConfig()

    >>> # Initializing a model (with random weights) from the configuration
    >>> model = ClapTextModel(configuration)

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