Encoder Decoder Models
------------------------

The :class:`~transformers.EncoderDecoderModel` can be used to initialize a sequence-to-sequence model with any pre-trained autoencoding model as the encoder and any pre-trained autoregressive model as the decoder.

The effectiveness of initializing sequence-to-sequence models with pre-trained checkpoints for sequence generation tasks was shown in `Leveraging Pre-trained Checkpoints for Sequence Generation Tasks <https://arxiv.org/abs/1907.12461>`__ by Sascha Rothe, Shashi Narayan, Aliaksei Severyn.

After such an :class:`~transformers.EncoderDecoderModel` has been trained / fine-tuned, it can be saved / loaded just like any other models (see Examples for more information).

An application of this architecture could be to leverage two pre-trained :obj:`transformers.BertModel` models as the encoder and decoder for a summarization model as was shown in: `Text Summarization with Pretrained Encoders <https://arxiv.org/abs/1910.13461>`_ by Yang Liu and Mirella Lapata. 


``EncoderDecoderConfig``
~~~~~~~~~~~~~~~~~~~~~~~~~

.. autoclass:: transformers.EncoderDecoderConfig
    :members:


``EncoderDecoderModel``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. autoclass:: transformers.EncoderDecoderModel
    :members:
