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--- |
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language: en |
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license: mit |
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pipeline_tag: document-question-answering |
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tags: |
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- layoutlm |
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- document-question-answering |
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- pdf |
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widget: |
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- text: "What is the invoice number?" |
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src: "https://huggingface.co/spaces/impira/docquery/resolve/2359223c1837a7587402bda0f2643382a6eefeab/invoice.png" |
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- text: "What is the purchase amount?" |
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src: "https://huggingface.co/spaces/impira/docquery/resolve/2359223c1837a7587402bda0f2643382a6eefeab/contract.jpeg" |
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--- |
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# LayoutLM for Visual Question Answering |
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This is a fine-tuned version of the multi-modal [LayoutLM](https://aka.ms/layoutlm) model for the task of question answering on documents. It has been fine-tuned using both the [SQuAD2.0](https://huggingface.co/datasets/squad_v2) and [DocVQA](https://www.docvqa.org/) datasets. |
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## Getting started with the model |
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To run these examples, you must have [PIL](https://pillow.readthedocs.io/en/stable/installation.html), [pytesseract](https://pypi.org/project/pytesseract/), and [PyTorch](https://pytorch.org/get-started/locally/) installed in addition to [transformers](https://huggingface.co/docs/transformers/index). |
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```python |
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from transformers import pipeline |
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nlp = pipeline( |
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"document-question-answering", |
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model="impira/layoutlm-document-qa", |
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) |
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nlp( |
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"https://templates.invoicehome.com/invoice-template-us-neat-750px.png", |
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"What is the invoice number?" |
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) |
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# {'score': 0.9943977, 'answer': 'us-001', 'start': 15, 'end': 15} |
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nlp( |
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"https://miro.medium.com/max/787/1*iECQRIiOGTmEFLdWkVIH2g.jpeg", |
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"What is the purchase amount?" |
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) |
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# {'score': 0.9912159, 'answer': '$1,000,000,000', 'start': 97, 'end': 97} |
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nlp( |
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"https://www.accountingcoach.com/wp-content/uploads/2013/10/income-statement-example@2x.png", |
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"What are the 2020 net sales?" |
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) |
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# {'score': 0.59147286, 'answer': '$ 3,750', 'start': 19, 'end': 20} |
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``` |
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**NOTE**: This model and pipeline was recently landed in transformers via [PR #18407](https://github.com/huggingface/transformers/pull/18407) and [PR #18414](https://github.com/huggingface/transformers/pull/18414), so you'll need to use a recent version of transformers, for example: |
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```bash |
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pip install git+https://github.com/huggingface/transformers.git@2ef774211733f0acf8d3415f9284c49ef219e991 |
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``` |
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## About us |
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This model was created by the team at [Impira](https://www.impira.com/). |
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