
# 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("racai/e4a-covid-question-answering")

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}
}
```
{"license": "mit"}
transformers pytorch bert question-answering arxiv:2206.08046 license:mit endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #question-answering #arxiv-2206.08046 #license-mit #endpoints_compatible #region-us 


# 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.

The model was introduced in this paper.

## Usage

Important Note: Currently, the model is not available for usage through the HuggingFace library.
 
Please install the following package:



Then you can use the model with the following code sample:




# 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.

The model was introduced in this paper. ## Usage

Important Note: Currently, the model is not available for usage through the HuggingFace library.
 
Please install the following package:



Then you can use the model with the following code sample:
TAGS
#transformers #pytorch #bert #question-answering #arxiv-2206.08046 #license-mit #endpoints_compatible #region-us 
 # 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.

The model was introduced in this paper. ## Usage

Important Note: Currently, the model is not available for usage through the HuggingFace library.
 
Please install the following package:



Then you can use the model with the following code sample:
passage: TAGS
#transformers #pytorch #bert #question-answering #arxiv-2206.08046 #license-mit #endpoints_compatible #region-us 
# 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.

The model was introduced in this paper.## Usage

Important Note: Currently, the model is not available for usage through the HuggingFace library.
 
Please install the following package:



Then you can use the model with the following code sample: