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# Roberta2Roberta_L-24_gigaword EncoderDecoder model
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The model was introduced in
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[this paper](https://arxiv.org/abs/1907.12461) by Sascha Rothe, Shashi Narayan, Aliaksei Severyn and first released in [this repository](https://tfhub.dev/google/bertseq2seq/roberta24_bbc/1).
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[this paper](https://arxiv.org/abs/1907.12461) by Sascha Rothe, Shashi Narayan, Aliaksei Severyn and first released in [this repository](https://tfhub.dev/google/bertseq2seq/roberta24_gigaword/1).
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The model is an encoder-decoder model that was initialized on the `roberta-large` checkpoints for both the encoder
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and decoder and fine-tuned on headline generation using the Gigaword dataset, which is linked above.
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