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_words.png from wikilangs/yo: direct link, hf CLI and curl.
- Browser
- Download file 661 kB
-
https://huggingface.co/wikilangs/yo/resolve/main/visualizations/tsne_words.png
- Command line
-
hf download hf://wikilangs/yo/visualizations/tsne_words.png
-
curl -L -o tsne_words.png https://huggingface.co/wikilangs/yo/resolve/main/visualizations/tsne_words.png
661 kB

- Xet hash:
- 17f2cc828474c714a9a379124d67f6512558ef200bf9924b1380c291043a4072
- Size of remote file:
- 661 kB
- SHA256:
- 41a07f463279f07e07c94cb629dd6d046a06327a1a6b22b2e12a658ed42916b4
·
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