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:
- 63cda1ac6d4c19a7e8e2694c063821b3fc43d78d20904b07a82e4a61a5092057
- Size of remote file:
- 363 kB
- SHA256:
- f48a23f9b3b08b85269fefa9a0c0fe89b6602aa26a4d9a55e11e33849c72095e
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