Instructions to use laurievb/OpenLID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use laurievb/OpenLID with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("laurievb/OpenLID", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download lid201-model.ftz from laurievb/OpenLID: direct link, hf CLI and curl.
- Browser
- Download file 7.34 MB
-
https://huggingface.co/laurievb/OpenLID/resolve/main/lid201-model.ftz
- Command line
-
hf download hf://laurievb/OpenLID/lid201-model.ftz
-
curl -L -o lid201-model.ftz https://huggingface.co/laurievb/OpenLID/resolve/main/lid201-model.ftz
7.34 MB
- Xet hash:
- 17e07f3c07891993d18d5415049a399325a1040d4bf4c9ef6c71799743b61a64
- Size of remote file:
- 7.34 MB
- SHA256:
- 47ecfacf258f1562825836714ae89e36cbe2de7afd46337bddcad77601e2a4d7
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