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Update README to include examples

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Ankur Goyal 2022-08-08 01:57:29 +00:00 committed by huggingface-web
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@ -14,7 +14,34 @@ The LayoutLM model was developed at Microsoft ([paper](https://arxiv.org/abs/191
## Getting started with the model
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).
```python
from transformers import AutoTokenizer, pipeline
tokenizer = AutoTokenizer.from_pretrained(
"impira/layoutlm-document-qa",
add_prefix_space=True,
trust_remote_code=True,
)
nlp = pipeline(
model="impira/layoutlm-document-qa",
tokenizer=tokenizer,
trust_remote_code=True,
)
nlp("https://templates.invoicehome.com/invoice-template-us-neat-750px.png", "What is the invoice number?")
# {'score': 0.9943977, 'answer': 'us-001', 'start': 15, 'end': 15}
nlp("https://miro.medium.com/max/787/1*iECQRIiOGTmEFLdWkVIH2g.jpeg", "What is the purchase amount?")
# {'score': 0.9912159, 'answer': '$1,000,000,000', 'start': 97, 'end': 97}
nlp("https://www.accountingcoach.com/wp-content/uploads/2013/10/income-statement-example@2x.png", "What are the 2020 net sales?")
# {'score': 0.59147286, 'answer': '$ 3,750', 'start': 19, 'end': 20}
```
**NOTE**: This model relies on a [model definition](https://github.com/huggingface/transformers/pull/18407) and [pipeline](https://github.com/huggingface/transformers/pull/18414) that are currently in review to be included in the transformers project. In the meantime, you'll have to use the `trust_remote_code=True` flag to run this model.
## About us