Instructions to use julien-c/fasttext-language-id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use julien-c/fasttext-language-id with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("julien-c/fasttext-language-id", "model.bin")) - Notebooks
- Google Colab
- Kaggle
metadata
language: multilingual
tags:
- fasttext
datasets:
- wikipedia
- tatoeba
- setimes
license: cc-by-sa-4.0
library_name: fasttext
inference: false
FastText model for language identification
♻️ Imported from https://fasttext.cc/docs/en/language-identification.html
[1] A. Joulin, E. Grave, P. Bojanowski, T. Mikolov, Bag of Tricks for Efficient Text Classification
@article{joulin2016bag,
title={Bag of Tricks for Efficient Text Classification},
author={Joulin, Armand and Grave, Edouard and Bojanowski, Piotr and Mikolov, Tomas},
journal={arXiv preprint arXiv:1607.01759},
year={2016}
}
[2] A. Joulin, E. Grave, P. Bojanowski, M. Douze, H. Jégou, T. Mikolov, FastText.zip: Compressing text classification models
@article{joulin2016fasttext,
title={FastText.zip: Compressing text classification models},
author={Joulin, Armand and Grave, Edouard and Bojanowski, Piotr and Douze, Matthijs and J{\'e}gou, H{\'e}rve and Mikolov, Tomas},
journal={arXiv preprint arXiv:1612.03651},
year={2016}
}