google/t5-large-ssm-nq

The model was fine-tuned on 100% of the train splits of Natural Questions (NQ) for 10k steps . The model can be used as follows for closed book question answering: t5_qa_model = AutoModelForSeq2SeqLM, AutoTokenizer.from_pretrained("google/t5-large-ssm-nq") # should give "December 26, 1892" => close, but not correct, . The code and trained models are available at https://goo.gle/t4-cbqa.com/ . The paper is based on a paper by Adam Roberts, Colin Raffel, Noam Sh,