Instructions to use hac541309/fasttext_langID_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use hac541309/fasttext_langID_models with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("hac541309/fasttext_langID_models", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload 3 files
add sha384 hashes for each model.4f8b035 -
Upload lid.176.ftz
https://fasttext.cc/docs/en/language-identification.html lid.176.ftz, which is the compressed version of the model, with a file size of 917kB license : Creative Commons Attribution-Share-Alike License 3.0 sha384 : 574c310c8d82540a8765d28140bf3e6cd01ceb7d164c9ec205c518254bfa0333ae1b80aab7ceff56e7159eced98a3d37 filesize : 938013adb716a
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Create lid218e.ftz
Original model available in https://huggingface.co/facebook/fasttext-language-identification This LID (Language IDentification) model is used to predict the language of the input text, and the hosted version (lid218e) was released as part of the NLLB project and can detect 217 languages. You can find older versions (ones that can identify 157 languages) on the official fastText website. licensed cc-by-nc-4.0 This is the quantized version of the above model.ba92a11 -
Create lid201-model.ftz
originally lid201-model.bin available from https://github.com/laurieburchell/open-lid-dataset The original model is licensed under the GNU General Public License v3.0811ae3f