Model from the preprint [Unlimiformer: Long-Range Transformers with Unlimited Length Input](https://arxiv.org/abs/2305.01625)
This is a BART-base model finetuned using the Unlimiformer alternating-training method, as described in section 3.2 of the paper. The model was finetuned on GovReport using the data processing pipeline from SLED; to load the validation or test set for use with these model, please use the datasets [urialon/gov_report_validation](https://huggingface.co/datasets/urialon/gov_report_validation) and [urialon/gov_report_test](https://huggingface.co/datasets/urialon/gov_report_test).
This is the strongest of the Unlimiformer models on this dataset.
*The inference demo is disabled because you must add the Unlimiformer files to your repo before this model can handle unlimited length input!* See the [Unlimiformer GitHub](https://github.com/abertsch72/unlimiformer) for setup instructions.
