| thon | |
| from transformers import AutoTokenizer, EncoderDecoderModel | |
| load a fine-tuned seq2seq model and corresponding tokenizer | |
| model = EncoderDecoderModel.from_pretrained("patrickvonplaten/bert2bert_cnn_daily_mail") | |
| tokenizer = AutoTokenizer.from_pretrained("patrickvonplaten/bert2bert_cnn_daily_mail") | |
| let's perform inference on a long piece of text | |
| ARTICLE_TO_SUMMARIZE = ( | |
| "PG&E stated it scheduled the blackouts in response to forecasts for high winds " | |
| "amid dry conditions. |