From 71963a6633bd47151e5d6145276bfbb25a2307c2 Mon Sep 17 00:00:00 2001 From: Daniele Sartiano Date: Thu, 24 Dec 2020 14:38:08 +0100 Subject: [PATCH] fix typo in modeling_encoder_decoder.py (#9297) * Update modeling_encoder_decoder.py Fixed typo. * typo Co-authored-by: Suraj Patil --- .../models/encoder_decoder/modeling_encoder_decoder.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/transformers/models/encoder_decoder/modeling_encoder_decoder.py b/src/transformers/models/encoder_decoder/modeling_encoder_decoder.py index e306d5f0c0..8d20a68c61 100644 --- a/src/transformers/models/encoder_decoder/modeling_encoder_decoder.py +++ b/src/transformers/models/encoder_decoder/modeling_encoder_decoder.py @@ -30,7 +30,7 @@ logger = logging.get_logger(__name__) _CONFIG_FOR_DOC = "EncoderDecoderConfig" ENCODER_DECODER_START_DOCSTRING = r""" - This class can be used to initialize a sequence-tsequencece model with any pretrained autoencoding model as the + This class can be used to initialize a sequence-to-sequence model with any pretrained autoencoding model as the encoder and any pretrained autoregressive model as the decoder. The encoder is loaded via :meth:`~transformers.AutoModel.from_pretrained` function and the decoder is loaded via :meth:`~transformers.AutoModelForCausalLM.from_pretrained` function. Cross-attention layers are automatically added