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

- Xet hash:
- 2979da566145da7254fdfa422e889a28f75ef0960787f39919367a6ba0a73d85
- Size of remote file:
- 368 kB
- SHA256:
- 1b44ada70b987a3137ecde18de755d6e845d497177c4e9a20adf51cd773f32da
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