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:
- b651ca5d4c8101c7f717e292da53e20bc4c1fd5036d8183594097ce12b33c3fa
- Size of remote file:
- 588 kB
- SHA256:
- b2d289f5cd313f9621d08c6ffaccc42568a25a90548378a3deff45c01d188d41
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