Text Generation
fastText
Bashkir
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/ba with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/ba with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/ba", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 779fc29709779b210ee97e38c28abf8c6a9044e9461159e9d1381e86fef40b23
- Size of remote file:
- 104 kB
- SHA256:
- ef8d66946be28f1ea941c3588eb1139c4de7fb836a62175a1ed4059320cae5ad
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