---
license: apache-2.0
language:
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- vmk
- vmw
- vmy
- vol
- vro
- vun
- vut
- waj
- wal
- wap
- war
- wat
- way
- wba
- wbm
- wbp
- wca
- wed
- wer
- wes
- wew
- whg
- whk
- wib
- wim
- wiu
- wln
- wls
- wlv
- wmt
- wmw
- wnc
- wnu
- wob
- wol
- wos
- wrk
- wrs
- wsk
- wuu
- wuv
- wwa
- xal
- xav
- xbi
- xbr
- xed
- xho
- xla
- xmf
- xmv
- xnn
- xog
- xon
- xpe
- xqa
- xrb
- xsb
- xsi
- xsm
- xsr
- xsu
- xtd
- xtm
- xtn
- xuo
- yaa
- yad
- yal
- yam
- yan
- yao
- yap
- yaq
- ybb
- yby
- ycn
- ydd
- yid
- yim
- yka
- ykg
- yle
- yli
- yml
- yom
- yon
- yor
- yrb
- yre
- yrk
- yrl
- yss
- yua
- yue
- yuj
- yup
- yut
- yuw
- yuz
- yva
- zaa
- zab
- zac
- zad
- zae
- zai
- zam
- zao
- zar
- zas
- zat
- zav
- zaw
- zca
- zdj
- zea
- zgh
- zho
- zia
- ziw
- zlm
- zne
- zom
- zos
- zpa
- zpc
- zpd
- zpf
- zpg
- zpi
- zpj
- zpl
- zpm
- zpo
- zpq
- zpt
- zpu
- zpv
- zpz
- zsm
- zsr
- ztq
- zty
- zul
- zyb
- zyp
- zza
tags:
- text-classification
- language-identification
library_name: fasttext
datasets:
- cis-lmu/GlotSparse
- cis-lmu/GlotStoryBook
metrics:
- f1
---

# GlotLID

[![GlotLID](https://img.shields.io/badge/🤗-Open%20In%20Spaces-blue.svg)](https://huggingface.co/spaces/cis-lmu/glotlid-space)

## Description

**GlotLID** is a Fasttext language identification (LID) model that supports more than **1600 languages**.

- **Demo:** [huggingface](https://huggingface.co/spaces/cis-lmu/glotlid-space)
- **Repository:** [github](https://github.com/cisnlp/GlotLID)
- **Paper:** [paper](https://arxiv.org/abs/2310.16248) (EMNLP 2023)
- **Point of Contact:** amir@cis.lmu.de



### How to use

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

```python
>>> import fasttext
>>> from huggingface_hub import hf_hub_download

>>> model_path = hf_hub_download(repo_id="cis-lmu/glotlid", filename="model.bin")
>>> model = fasttext.load_model(model_path)
>>> model.predict("Hello, world!")
```

If you are not a fan of huggingface_hub, then download the model directyly:

```python
>>> ! wget https://huggingface.co/cis-lmu/glotlid/resolve/main/model.bin
```

```python
>>> import fasttext

>>> model = fasttext.load_model("/path/to/model.bin")
>>> model.predict("Hello, world!")
```


## License

The model is distributed under the Apache License, Version 2.0.

## Version

We always maintain the previous version of GlotLID in our repository.

To access a specific version, simply append the version number to the `filename`.

- For v1: `model_v1.bin` (introduced in the GlotLID [paper](https://arxiv.org/abs/2310.16248) and used in all experiments).
- For v2: `model_v2.bin` (an edited version of v1, featuring more languages, and cleaned from noisy corpora based on the analysis of v1).

`model.bin` always refers to the latest version (v2).


## References

If you use this model, please cite the following paper:

```
@inproceedings{
  kargaran2023glotlid,
  title={{GlotLID}: Language Identification for Low-Resource Languages},
  author={Kargaran, Amir Hossein and Imani, Ayyoob and Yvon, Fran{\c{c}}ois and Sch{\"u}tze, Hinrich},
  booktitle={The 2023 Conference on Empirical Methods in Natural Language Processing},
  year={2023},
  url={https://openreview.net/forum?id=dl4e3EBz5j}
}

```