 Input sequence length for text encoder.
        text_encoder_num_layers (`int`, *optional*, defaults to 6)
            Number of layers for transformer in text encoder.
        text_encoder_vocab_size (`int`, *optional*, defaults to 49408)
            Vocabulary size for tokenizer.
        text_encoder_proj_layers (`int`, *optional*, defaults to 2)
            Number of layers in MLP for project text queries.
        text_encoder_n_ctx (`int`, *optional*, defaults to 16)
            Number of learnable text context queries.
        conv_dim (`int`, *optional*, defaults to 256)
            Feature map dimension to map outputs from the backbone.
        mask_dim (`int`, *optional*, defaults to 256)
            Dimension for feature maps in pixel decoder.
        hidden_dim (`int`, *optional*, defaults to 256)
            Dimension for hidden states in transformer decoder.
        encoder_feedforward_dim (`int`, *optional*, defaults to 1024)
            Dimension for FFN layer in pixel decoder.
        norm (`str`, *optional*, defaults to `GN`)
            Type of normalization.
        encoder_layers (`int`, *optional*, defaults to 6)
            Number of layers in pixel decoder.
        decoder_layers (`int`, *optional*, defaults to 10)
            Number of layers in transformer decoder.
        use_task_norm (`bool`, *optional*, defaults to `True`)
            Whether to normalize the task token.
        num_attention_heads (`int`, *optional*, defaults to 8)
            Number of attention heads in transformer layers in the pixel and transformer decoders.
        dropout (`float`, *optional*, defaults to 0.1)
            Dropout probability for pixel and transformer decoders.
        dim_feedforward (`int`, *optional*, defaults to 2048)
            Dimension for FFN layer in transformer decoder.
        pre_norm (`bool`, *optional*, defaults to `False`)
            Whether to normalize hidden states before attention layers in transformer decoder.
        enforce_input_proj (`bool`, *optional*, defaults to `False`)
            Whether to project hidden states in transformer decoder.
        query_dec_layers (`int`, *optional*, defaults to 2)
            Number of layers in query transformer.
        common_stride (`int`, *optional*, defaults to 4)
            Common stride used for features in pixel decoder.

    Examples:
    ```python
    >>> from transformers import OneFormerConfig, OneFormerModel

    >>> # Initializing a OneFormer shi-labs/oneformer_ade20k_swin_tiny configuration
    >>> configuration = OneFormerConfig()
    >>> # Initializing a model (with random weights) from the shi-labs/oneformer_ade20k_swin_tiny style configuration
    >>> model = OneFormerModel(configuration)
    >>> # Accessing the model configuration
    >>> configuration = model.config
    ```
    Z	oneformerZ