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

- Xet hash:
- 62751668dcfaa7f660cae860ad2c7b6940fb878e962dadeaddbd71f222f7a6a6
- Size of remote file:
- 386 kB
- SHA256:
- 9b20ea9b8b1378c7fe426d76f1f74c9daa935ea16722ee437546d96bf0b13778
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.