Text Generation
fastText
Chuvash
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-turkic_other
Instructions to use wikilangs/cv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/cv with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/cv", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/embedding_tsne_multilingual.png from wikilangs/cv: direct link, hf CLI and curl.
- Browser
- Download file 268 kB
-
https://huggingface.co/wikilangs/cv/resolve/main/visualizations/embedding_tsne_multilingual.png
- Command line
-
hf download hf://wikilangs/cv/visualizations/embedding_tsne_multilingual.png
-
curl -L -o embedding_tsne_multilingual.png https://huggingface.co/wikilangs/cv/resolve/main/visualizations/embedding_tsne_multilingual.png
268 kB

- Xet hash:
- 06f95b36deaa81f667c725d2e1394a07f6bb1573cfacaf3e931347d23cbf0cbd
- Size of remote file:
- 268 kB
- SHA256:
- fcc82854425d1031f73e3dfd7adb97fe143f239cf6edca7c7b04d499d76fd808
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