Text Generation
fastText
Northern Sami
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-uralic_saami
Instructions to use wikilangs/se with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/se with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/se", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 863f8bf20661074895859e00f8b4cd1c00ea353e98ad480ebcc9146f5304b1ad
- Size of remote file:
- 106 kB
- SHA256:
- 212522476ed5e206170cdc61995b327dd88859fcf9215eed3e5dd85ebaa492df
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