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 the retrieval-augmented training strategy described in section 3.2 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 the strongest of the Unlimiformer models for 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.
{"datasets": ["yuvalkirstain/summ_screen_fd_t5_lm", "urialon/summ_screen_validation", "urialon/summ_screen_test"], "pipeline_tag": "text2text-generation", "inference": false}
transformers pytorch bart feature-extraction text2text-generation dataset:yuvalkirstain/summ_screen_fd_t5_lm dataset:urialon/summ_screen_validation dataset:urialon/summ_screen_test arxiv:2305.01625 region:us
TAGS
#transformers #pytorch #bart #feature-extraction #text2text-generation #dataset-yuvalkirstain/summ_screen_fd_t5_lm #dataset-urialon/summ_screen_validation #dataset-urialon/summ_screen_test #arxiv-2305.01625 #region-us 

Model from the preprint Unlimiformer: Long-Range Transformers with Unlimited Length Input.

This model was finetuned from a BART-base model using the retrieval-augmented training strategy described in section 3.2 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 and urialon/summ_screen_test.

This is the strongest of the Unlimiformer models for 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 for setup instructions.
TAGS
#transformers #pytorch #bart #feature-extraction #text2text-generation #dataset-yuvalkirstain/summ_screen_fd_t5_lm #dataset-urialon/summ_screen_validation #dataset-urialon/summ_screen_test #arxiv-2305.01625 #region-us 
