Text Generation
fastText
Kazakh
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/kk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/kk with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/kk", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_sentences.png from wikilangs/kk: direct link, hf CLI and curl.
- Browser
- Download file 276 kB
-
https://huggingface.co/wikilangs/kk/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/kk/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/kk/resolve/main/visualizations/tsne_sentences.png
276 kB

- Xet hash:
- fed08f43ebc63806fc0e1a83b5801ed515cc1acc7f897fa716c69fa02a139c90
- Size of remote file:
- 276 kB
- SHA256:
- 606d76731a43b1f892e0cecea5ed6f1869657d84ef0c2bd9b1a3f10aed478751
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