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google/bert2bert_L-24_wmt_de_en

The google/bert2bert_L-24_wmt_de_en model is a machine learning model.

About google/bert2bert_L-24_wmt_de_en

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 German to English translation on the WMT . dataset . You can use this model for translation, e.g. "Willst du einen . einen Kaffee trinken gehen mit mir?" The model card has been written by the Hugging Face team. It is available to download and use for translation purposes only at this time,
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