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

- Xet hash:
- 4e8014cd66c4a7d5884dfc85ee73276329f2f700928f92dff2d0688e5a3a0d76
- Size of remote file:
- 239 kB
- SHA256:
- bc7d6209adf9e2715d91782fb9d69cf72c641dbd56d162a7a21fd9c0bbb0e256
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