Text Generation
fastText
Ido
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/io with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/io with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/io", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/embedding_tsne_multilingual.png from wikilangs/io: direct link, hf CLI and curl.
- Browser
- Download file 256 kB
-
https://huggingface.co/wikilangs/io/resolve/main/visualizations/embedding_tsne_multilingual.png
- Command line
-
hf download hf://wikilangs/io/visualizations/embedding_tsne_multilingual.png
-
curl -L -o embedding_tsne_multilingual.png https://huggingface.co/wikilangs/io/resolve/main/visualizations/embedding_tsne_multilingual.png
256 kB

- Xet hash:
- c0ce37fdc196d6127465eda92c2937b9df3dd8f772a6c801455cfde7789d3248
- Size of remote file:
- 256 kB
- SHA256:
- 44b7bc320eeb805bfed46eca1a798a012fb23d27344217624f28d7e2ca9bc1f8
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