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
File size: 446 Bytes
486585a | 1 2 3 4 5 6 7 8 9 10 11 | 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"))
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