Text Generation
fastText
Belarusian
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-slavic_east
Instructions to use wikilangs/be with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/be with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/be", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 34e39ffabadbb29ea71515ab9bf4af5d4750f661b80e637245c4670d2d0edef6
- Size of remote file:
- 376 kB
- SHA256:
- f1b9c6741eeeca1c6d5965de464e89ea0d9bcb00f8715b03abbbf849a9137a8f
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