Text Generation
fastText
Volapük
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-constructed_auxlang
Instructions to use wikilangs/vo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/vo with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/vo", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_sentences.png from wikilangs/vo: direct link, hf CLI and curl.
- Browser
- Download file 251 kB
-
https://huggingface.co/wikilangs/vo/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/vo/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/vo/resolve/main/visualizations/tsne_sentences.png
251 kB

- Xet hash:
- 81919b17807020785d94e755eb2237331f8d70c80b98cef73a88f0ba323750df
- Size of remote file:
- 251 kB
- SHA256:
- 52827e20b6f46115100501822c2793932360d6f5d99f83fcede7efad765c1a7c
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