Text Generation
fastText
Kusaal
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/kus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/kus with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/kus", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/zipf_law.png from wikilangs/kus: direct link, hf CLI and curl.
- Browser
- Download file 108 kB
-
https://huggingface.co/wikilangs/kus/resolve/main/visualizations/zipf_law.png
- Command line
-
hf download hf://wikilangs/kus/visualizations/zipf_law.png
-
curl -L -o zipf_law.png https://huggingface.co/wikilangs/kus/resolve/main/visualizations/zipf_law.png
108 kB

- Xet hash:
- ef4dd225a11c4c4cf8326c8ecbadd941cf9a93ddb3fedea9490d589e2e0e26c1
- Size of remote file:
- 108 kB
- SHA256:
- 55607fc76f585f27c47ecbd5f6a802a2d07f00c5dc642b36599bd6efce522d98
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