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:
- af08134c69f46c6db0ac9e03a5ed81fb24902dd068de639196b96ef49dbbb39b
- Size of remote file:
- 1.71 MB
- SHA256:
- 9674a907e50f3fa78f571f6c44e1791be0d3a5dffe071dda527390b641f15bd4
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