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
Create lid218e.ftz
Browse filesOriginal 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.
- quantized/lid218e.ftz +3 -0
quantized/lid218e.ftz
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version https://git-lfs.github.com/spec/v1
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oid sha256:ace2b2cbcb87068546b1bd5961c0e7f18dd4916e8573d1cf66ade9d074cad922
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size 149855754
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