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:
- e2d1d08ec5e8becdbb5a1150ccb76c8aa267ae8a1756015617c1b4042fe90b43
- Size of remote file:
- 114 kB
- SHA256:
- 46bd991b614251b066998ede59ede763856785abff7025b5fb955db22adfbf67
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