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

- Xet hash:
- 851c9af0f1e0a879480446c3a25d3105d493dc9d2c478da1808bc0c8adfd8905
- Size of remote file:
- 107 kB
- SHA256:
- 2a68e9b1d42a0a5d912d38fe234ee2fc79436b66c49252f670778d0d56253e93
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