Text Generation
fastText
Gun
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_kwa
Instructions to use wikilangs/guw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/guw with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/guw", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- f915692474a49f1eadd27bc2448bda53b87c3700759e4d4f1a65022e9c1cb49e
- Size of remote file:
- 110 kB
- SHA256:
- c711eb6959b6c005e077be62862f1042c8c644be9dc3dac3bc339382955c5ba2
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