From 15d18e030722d5e51160fddc6f920939134e2e1e Mon Sep 17 00:00:00 2001 From: Bartosz Telenczuk Date: Mon, 14 Sep 2020 13:43:40 +0200 Subject: [PATCH] fix link to paper (#7116) --- docs/source/model_doc/encoderdecoder.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/model_doc/encoderdecoder.rst b/docs/source/model_doc/encoderdecoder.rst index a63b6044a2..54f74320ab 100644 --- a/docs/source/model_doc/encoderdecoder.rst +++ b/docs/source/model_doc/encoderdecoder.rst @@ -7,7 +7,7 @@ The effectiveness of initializing sequence-to-sequence models with pre-trained c 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 `_ by Yang Liu and Mirella Lapata. +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 `_ by Yang Liu and Mirella Lapata. ``EncoderDecoderConfig``