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

- Xet hash:
- bd2021d0bbee95df593057653f266d8c50776c87d32ab8a319713eb239a72d2e
- Size of remote file:
- 309 kB
- SHA256:
- 6e7a4d4fe04eff4d495e10202e7a2f0433d743278b6844cc148870e2249866c4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.