transformers pytorch bart feature-extraction text2text-generation dataset:ccdv/govreport-summarization dataset:urialon/gov_report_validation dataset:urialon/gov_report_test arxiv:2305.01625 region:us
---
datasets:
- ccdv/govreport-summarization
- urialon/gov_report_validation
- urialon/gov_report_test
pipeline_tag: text2text-generation
inference: false
---
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. 