inputs_embeds (`torch.FloatTensor` of shape `(batch_size, sequence_length, hidden_size)`, *optional*):
            Optionally, instead of passing `input_ids` you can choose to directly pass an embedded representation. This
            is useful if you want more control over how to convert *input_ids* indices into associated vectors than the
            model's internal embedding lookup matrix.
        output_attentions (`bool`, *optional*):
            If set to `True`, the attentions tensors of all attention layers are returned. See `attentions` under
            returned tensors for more detail.
        output_hidden_states (`bool`, *optional*):
            If set to `True`, the hidden states of all layers are returned. See `hidden_states` under returned tensors
            for more detail.
        return_dict (`bool`, *optional*):
            If set to `True`, the model will return a [`~utils.ModelOutput`] instead of a plain tuple.
zbThe bare LayoutLM Model transformer outputting raw hidden-states without any specific head on top.c