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:
- 176d21194baf5b4cfbf9aa6429329308e967f685a80eda92629e7b9f43e7a501
- Size of remote file:
- 383 kB
- SHA256:
- ce3382dd8c35a128691d3464ed36cd101c99fe9e8af8e9a790402b176374a67f
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