Update README.md

README.md

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 ---
 license: mit
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+
+# Romanian Covid Question Answering
+
+This repository contains the a Romanian question answering for Covid-19 related queries. We used as the base model the [Romanian DistilBERT](https://huggingface.co/racai/distilbert-base-romanian-uncased).
+
+The model was introduced in [this paper](https://arxiv.org/abs/2206.08046).
+
+## Usage
+
+**Important Note:** Currently, the model is not available for usage through the HuggingFace library.
+ 
+Please install the following package:
+
+```
+pip install git+https://github.com/racai-ai/BERT-SQuAD
+```
+
+Then you can use the model with the following code sample:
+
+```python
+from bert import QA
+
+model = QA("model")
+
+context = "Reacțiile adverse frecvente la tratamentul cu paxlovid sunt diaree, vărsături, mioartralgii, astenie fizică, erupții, inclusiv sindrom Stevens-Johnson."
+question = "La ce reacții adverse să mă aștept dacă iau paxlovid?"
+
+out = model.predict(context, question)
+print(out)
+# {'answer': 'diaree, vărsături, mioartralgii, astenie fizică, erupții, inclusiv sindrom Stevens-Johnson.', 'start': 8, 'end': 16, 'confidence': 0.999903004533245, 'document': [...]}
+```
+
+### Citation
+```bibtex
+@article{ion2022open,
+  title={An Open-Domain QA System for e-Governance},
+  author={Ion, Radu and Avram, Andrei-Marius and P{\u{a}}i{\c{s}}, Vasile and Mitrofan, Maria and Mititelu, Verginica Barbu and Irimia, Elena and Badea, Valentin},
+  journal={arXiv preprint arXiv:2206.08046},
+  year={2022}
+}
+```