From 624a5644cc9585b19c90cb2a20e343f7ff326d82 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?R=C3=A9mi=20Louf?= Date: Thu, 17 Oct 2019 09:27:56 +0200 Subject: [PATCH] revert black formatting to conform with lib style --- transformers/modeling_seq2seq.py | 10 ++-------- 1 file changed, 2 insertions(+), 8 deletions(-) diff --git a/transformers/modeling_seq2seq.py b/transformers/modeling_seq2seq.py index 4e76a1b8e7..cc5cc53bc3 100644 --- a/transformers/modeling_seq2seq.py +++ b/transformers/modeling_seq2seq.py @@ -43,13 +43,7 @@ class PreTrainedSeq2seq(PreTrainedModel): self.decoder = decoder @classmethod - def from_pretrained( - cls, - encoder_pretrained_model_name_or_path, - decoder_pretrained_model_name_or_path, - *model_args, - **kwargs - ): + def from_pretrained(cls, encoder_pretrained_model_name_or_path, decoder_pretrained_model_name_or_path, *model_args, **kwargs): r""" Instantiates an encoder and a decoder from one or two base classes of the library from pre-trained model checkpoints. @@ -190,7 +184,7 @@ class Model2Model(PreTrainedSeq2seq): def tie_weights(self): """ Tying the encoder and decoders' embeddings together. - We need for each to get down to the embedding weights. However the + We need for each to get down to the embedding weights. However the different model classes are inconsistent to that respect: - BertModel: embeddings.word_embeddings - RoBERTa: embeddings.word_embeddings