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--- |
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datasets: |
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- abertsch/booksum-fullbooks |
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pipeline_tag: text2text-generation |
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inference: false |
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--- |
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Model from the preprint [Unlimiformer: Long-Range Transformers with Unlimited Length Input](https://arxiv.org/abs/2305.01625). |
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This model was finetuned from a BART-base model using the random-encoding training strategy described in section 3.2 of the paper. It was finetuned on the dataset BookSum (full-book setting). |
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*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. |
