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:
- 027d102af9e767726d837c2761850dd6ef5be8e8b14ffcf8e0392649a5cae3f6
- Size of remote file:
- 117 kB
- SHA256:
- 629fb37772415887a4ebf793c53ec2514e24e3fc4bd55c8852e844504eac31f1
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