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:
- 90c96a1426d361ae201502fb00aea4acfc8644426e152dd2fe76fe80a21c686c
- Size of remote file:
- 274 MB
- SHA256:
- a65c608ed4f0bfe05694ed75fd7b1643110a215cfd39fbc82a40f3374aaaf26e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.