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:
- da1078615c24ecbffe31934fe281a7242199eb5a87cfb01e72506e30922525c7
- Size of remote file:
- 957 kB
- SHA256:
- 0975ba054b867292078821676618b968c848836ae76a2358bee4c8cedc1706e6
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