| | --- |
| | datasets: |
| | - yuvalkirstain/summ_screen_fd_t5_lm |
| | - urialon/summ_screen_validation |
| | - urialon/summ_screen_test |
| | inference: false |
| | pipeline_tag: text2text-generation |
| | --- |
| | |
| | Model from the preprint [Unlimiformer: Long-Range Transformers with Unlimited Length Input](https://arxiv.org/abs/2305.01625). |
| |
|
| | This model was finetuned from a BART-base model using Unlimiformer-aware early stopping, described in section 3.1 of the paper. It was finetuned on the dataset SummScreen using the data preprocessing pipeline from SLED; to load the validation or test set for use with these model, please use the datasets [urialon/summ_screen_validation](https://huggingface.co/datasets/urialon/summ_screen_validation) and [urialon/summ_screen_test](https://huggingface.co/datasets/urialon/summ_screen_test). |
| |
|
| | This is generally a weaker model than the [retrieval-trained model](https://huggingface.co/abertsch/unlimiformer-bart-summscreen-retrieval) and a stronger model than the [baseline](https://huggingface.co/abertsch/bart-base-summscreen). |
| |
|
| | *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. |
