## Description

Afroscope-model is a language identification (LID) model from the AfroScope project, fine-tuned on [Serengeti](https://huggingface.co/UBC-NLP/serengeti), supporting 713 African languages.

For more details on the supported languages and performance, as well as significant changes from previous versions, please refer to LINK_HERE.

- **Dataset:** [dataset](https://huggingface.co/datasets/14kwonss/afroscope-data)
- **Repository:** [github](https://github.com/skwon01-UBC/AfroScope?tab=readme-ov-file)
- **Paper:** [Arxiv](https://www.arxiv.org/pdf/2601.13346)

---

## How to use

Here is how to use this model to detect the language of a given text:

```python
from transformers import pipeline


afroscope_model = pipeline("text-classification", model='UBC-NLP/afroscope-model')

input_text="Ninyepuní íne εtɩε, bε ewǐe Jesi ɔnʋ lεfε kʋkʋkpɔ cε."

result = afroscope_model(input_text)

# Extract the label and score from the first result
language = result[0]['label']
score = result[0]['score']

print(f"detected langauge: {language}\tscore: {round(score*100, 2)}")

```

## Citation

```bibtex
@article{kwon2026afroscope,
  title={AfroScope: A Framework for Studying the Linguistic Landscape of Africa},
  author={Kwon, Sang Yun and Elmadany, AbdelRahim and Abdul-Mageed, Muhammad},
  journal={arXiv preprint arXiv:2601.13346},
  year={2026}
}
```