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:
- 65cfa31298c47560cbffe4e81ea1528349f2f78c07facf4ceb58935bef975d2a
- Size of remote file:
- 397 kB
- SHA256:
- 92709376934183a7f64eb13187d0d92e7e0e6abc3af7cea08564d1ca1d6fdc80
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.