Text Generation
fastText
Fon
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_kwa
Instructions to use wikilangs/fon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/fon with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/fon", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_sentences.png from wikilangs/fon: direct link, hf CLI and curl.
- Browser
- Download file 257 kB
-
https://huggingface.co/wikilangs/fon/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/fon/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/fon/resolve/main/visualizations/tsne_sentences.png
257 kB

- Xet hash:
- 3710fadf03e95027a3d2c9ba0b6c6e2c4be41e64650a4d33f93f881ed6174e51
- Size of remote file:
- 257 kB
- SHA256:
- 9f5a7f652ead281aac7bf91c45c412c9a6e37352f68fc4cff595bc7759d7e371
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