Merge pull request #24 from Rutam21/patch-11

Created impira/layoutlm-document-qa README.md File. Closes #13

impira-layoutlm-document-qa/README.md

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+![Cover](https://user-images.githubusercontent.com/66431403/267597217-2285216a-209c-466b-a0da-ab610356c2af.png)
+
+# layoutlm-document-qa
+
+## DagsHub Repository: https://dagshub.com/Rutam21/layoutlm-document-qa
+
+## Source: [HuggingFace layoutlm-document-qa Model](https://huggingface.co/impira/layoutlm-document-qa)
+
+# Description
+
+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.
+
+# Usage
+
+To run some of 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 pipeline
+
+nlp = pipeline(
+    "document-question-answering",
+    model="impira/layoutlm-document-qa",
+)
+
+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 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:
+
+```bash
+pip install git+https://github.com/huggingface/transformers.git@2ef774211733f0acf8d3415f9284c49ef219e991
+```
+
+# License
+
+This model is available on HuggingFace under the MIT License.
+
+# Citation
+
+```citation
+This model was created by the team at Impira.
+```