impira
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layoutlm-invoices

Document Question Answering

Inference Endpoints

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Ankur Goyal commited on Sep 6, 2022

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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
 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:
-![Two-line Address](./demo.png)
 ## Getting started with the model

 ## 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
+classifier head. For example, QA models often encounter this failure mode:
+![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

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