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
Download code/create_models.py from NbAiLab/nb-nordic-lid: direct link, hf CLI and curl.
- Browser
- Download file 446 Bytes
-
https://huggingface.co/NbAiLab/nb-nordic-lid/resolve/main/code/create_models.py
- Command line
-
hf download hf://NbAiLab/nb-nordic-lid/code/create_models.py
-
curl -L -o create_models.py https://huggingface.co/NbAiLab/nb-nordic-lid/resolve/main/code/create_models.py
446 Bytes
| import fasttext | |
| model = fasttext.train_supervised(input='train.txt', autotuneValidationFile='validation.txt', autotuneDuration=60*60) | |
| model.save_model("nordic-lid.bin") | |
| print(model.test("test.txt")) | |
| model_all = fasttext.train_supervised(input='train_all.txt', autotuneValidationFile='validation_all.txt', autotuneDuration=60*60) | |
| model_all.save_model("nordic-lid_all.bin") | |
| print(model_all.test("test.txt")) | |
| print(model_all.test("test_all.txt")) | |