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:
- 75c29a264b9acd1cd85db37657274711bba4af6e7cb8d3df944a182ff48fdd45
- Size of remote file:
- 252 kB
- SHA256:
- bdbb907dcea7ada9ce97648fd70b91e537a556ae34d6c33c90851b970570054f
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