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

- Xet hash:
- 41ff102753ee2d40f6887e8c69663902d975cc5bc2e24abaf7d326d15e91430e
- Size of remote file:
- 270 kB
- SHA256:
- e67977c90ffa3ea80cfc8282ef80d0e26cf3417d590091653aa43b27566301a1
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