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

- Xet hash:
- dbfc36b1e49d05f3d043cba1f6ebeb9c2265da4490876b9e153dce3d63a1548c
- Size of remote file:
- 390 kB
- SHA256:
- 6143e998946b459d63ea001fc8d80b940e274b91ef9bfd7aed74cc4b47b0974d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.