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:
- 228d8d6f4f5ddf316127336cd9381998e487c397205aa628a7335254220b15c5
- Size of remote file:
- 237 kB
- SHA256:
- 5bbdebbcfed1958db2b0ea6dcbac1610d35f75414d890ccb8ff3feb82209543b
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