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:
- aaeb74c7acb30d1e89905e9aa5bc3a618f9f406146e3e27c8abd2808d6ee1547
- Size of remote file:
- 261 kB
- SHA256:
- 754f520f8d57670ee1e81a52bbffc9be6d0f86b55c36a92851a44df8e7408b34
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