Instructions to use facebook/fasttext-language-identification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use facebook/fasttext-language-identification with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("facebook/fasttext-language-identification", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download model.bin from facebook/fasttext-language-identification: direct link, hf CLI and curl.
- Browser
- Download file 1.18 GB
-
https://huggingface.co/facebook/fasttext-language-identification/resolve/main/model.bin
- Command line
-
hf download hf://facebook/fasttext-language-identification/model.bin
-
curl -L -o model.bin https://huggingface.co/facebook/fasttext-language-identification/resolve/main/model.bin
1.18 GB
- Xet hash:
- 27f873d713b2d28bf9828b31d07a9bc8e2f3d6e07d127589ffe1e92126459090
- Size of remote file:
- 1.18 GB
- SHA256:
- 8ded5749a2ad79ae9ab7c9190c7c8b97ff20d54ad8b9527ffa50107238fc7f6a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.