Instructions to use hafsteinn/germanic-lid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use hafsteinn/germanic-lid with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("hafsteinn/germanic-lid", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Commit History
3 days ago
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Card: CommonLID caveat (GlotLID is more precise on English, German, Dutch and Frisian web lines)
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v2.1: retrained on a uniformly shuffled training file (fixes the Bokmål/Nynorsk regression of v2.0); new card, Pareto table and results. v2.0 is at tag v2.0.
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4 days ago
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Add citation
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18 days ago
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pareto: frontier models (d32 ftz/bin, d128 bin), archive of all trained variants, PARETO.md, updated card
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germanic-lid v2: fastText d64 quantised, wrapper, card, v2 results
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initial commit
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