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:
- f8d96b46730f7c9665f51d0a01a5e86bae10879e068ff302a7f42032473c89fc
- Size of remote file:
- 375 kB
- SHA256:
- af5ea30ba106b914e37d12ba16a1b06d1864e03d4b7dc1682fe3652b89662f52
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