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:
- 559a4f8108f4d34986388093fa4c7d905707d2ef22b4b038ab9740dd42e3ad40
- Size of remote file:
- 116 kB
- SHA256:
- ddd3540ac230a895f968a7c4b4c9a8b1956f650bccb3695e8d67e4740f69b0e6
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