google/bert2bert_L-24_wmt_en_de

The model was introduced in a paper by Sascha Rothe, Shashi Narayan, Aliaksei Severyn and first released in this repository . The model is an encoder-decoder model that was . initialized on the bert-large . checkpoints for both the encoder and decoder and . fine-tuned on English to German translation on the WMT . dataset, which is linked above, is used in the model card . You can use this model for translation, e.g. "Would you like to grab a coffee with me this week?" The model card has been written by the Hugging Face team and is based on the . WMT dataset .,