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Ankur Goyal 2022-09-06 11:01:39 -07:00
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@ -16,9 +16,13 @@ invoices as well as both [SQuAD2.0](https://huggingface.co/datasets/squad_v2) an
## Non-consecutive tokens ## Non-consecutive tokens
Unlike other QA models, which can only extract consecutive tokens (because they predict the start and end of a sequence), this model can predict longer-range, non-consecutive sequences with an additional Unlike other QA models, which can only extract consecutive tokens (because they predict the start and end of a sequence), this model can predict longer-range, non-consecutive sequences with an additional
classifier head. For example, it can extract the two-line address as below: classifier head. For example, QA models often encounter this failure mode:
![Two-line Address](./demo.png) ![Broken Address](./before.png)
However this model is able to predict non-consecutive tokens and therefore the address correctly:
![Two-line Address](./after.png)
## Getting started with the model ## Getting started with the model

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