google/roberta2roberta_L-24_discofuse

The model was introduced in a paper by Sascha Rothe, Shashi Narayan, Aliaksei Severyn and first released in this repository . It is an encoder-decoder model that was trained on the roberta-large checkpoints for both the encoder and decoder and fine-tuned on sentencefusion on the discofuse dataset, which is linked above . You can use this model for sentence fusion, e.g. The model card has been written by the Hugging Face team . It was not trained on double quotation marks so the before tokenizing the text, it is advised to replace all " (double quotation marks) with a single `,