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
Download visualizations/tsne_sentences.png from wikilangs/yo: direct link, hf CLI and curl.
- Browser
- Download file 268 kB
-
https://huggingface.co/wikilangs/yo/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/yo/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/yo/resolve/main/visualizations/tsne_sentences.png
268 kB

- Xet hash:
- fdb0d868b3c0626435c5d473a9e25f69a0145b89e8c7823f1bbd4ffae97450ef
- Size of remote file:
- 268 kB
- SHA256:
- f13a641a3d71fa97a1ddae7da5151b9be2f508434f3afe88119e79be983dd42a
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