Text Generation
fastText
Dinka
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-african_nilotic
Instructions to use wikilangs/din with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/din with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/din", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_sentences.png from wikilangs/din: direct link, hf CLI and curl.
- Browser
- Download file 272 kB
-
https://huggingface.co/wikilangs/din/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/din/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/din/resolve/main/visualizations/tsne_sentences.png
272 kB

- Xet hash:
- 15061001e7fbac5f44ad962de24e3c9f931fbf2d4e8f9ce29c1ca9050f93b255
- Size of remote file:
- 272 kB
- SHA256:
- edababa4edaabb9e9adad3b9a2fff73ce764c90552a6c87803f42427798b7493
·
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