google/roberta2roberta_L-24_gigaword

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 roberta-large checkpoints for both the encoder and decoder and fine-tuned on headline generation using the Gigaword dataset, which is linked above . You can use this model for extreme summarization, e.g. The model card has been written by the Hugging Face team, and the model card is written by Hugging face team . It is available to download and use in the next week's edition of this article by clicking here,