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:
- 951da11e546e69de315cac498cfba798d7732d869a44cd36e11babc65c9de951
- Size of remote file:
- 116 kB
- SHA256:
- d709ffcbe85ed49c99dbfd00689317efc8fae6499deddce5cab24659b590c8d4
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