Instructions to use NbAiLab/nb-nordic-lid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use NbAiLab/nb-nordic-lid with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("NbAiLab/nb-nordic-lid", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfc2dbd0b1111f712a14da836d3f47136d24ec82d1bcb14edd54cfa161aeacde
- Size of remote file:
- 1.89 MB
- SHA256:
- 96fc539c28120cc3a98b0a006c2cd36b7f1917987a3c3d6bab7a1c920595c546
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.