Instructions to use melaniab/spacy-pipeline-bg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use melaniab/spacy-pipeline-bg with spaCy:
!pip install https://huggingface.co/melaniab/spacy-pipeline-bg/resolve/main/spacy-pipeline-bg-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("spacy-pipeline-bg") # Importing as module. import spacy-pipeline-bg nlp = spacy-pipeline-bg.load() - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files# Pretrained spaCy model of Bulgarian language
Full paper: [An Improved Bulgarian Natural Language Processing Pipeline](https://annual.uni-sofia.bg/index.php/fmi/article/view/572/559).
Presentation [here](https://docs.google.com/presentation/d/1igrxFjlWuPxZuU9mDI1_H23iYA7Rq6D4/edit?usp=sharing&ouid=108163209901619891277&rtpof=true&sd=true).
# Usage
For information how to use the model, refer to the [GitHub repository of the project](https://github.com/melaniab/spacy-pipeline-bg).
# Reference
If you use the pipeline in your academic project, please cite as:
```bibtex
@article {berbatova2023improved,
title={An improved Bulgarian natural language processing pipelihttps://github.com/melaniab/spacy-pipeline-bgne},
author={Berbatova, Melania and Ivanov, Filip},
journal={Annual of Sofia University St. Kliment Ohridski. Faculty of Mathematics and Informatics},
volume={110},
pages={37--50},
year={2023}
}
```
If you use this model in non-academic project, such as study project or industry application, please give me a note at melania.berbatova@gmail.com.