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/embedding_tsne_multilingual.png from wikilangs/din: direct link, hf CLI and curl.
- Browser
- Download file 250 kB
-
https://huggingface.co/wikilangs/din/resolve/main/visualizations/embedding_tsne_multilingual.png
- Command line
-
hf download hf://wikilangs/din/visualizations/embedding_tsne_multilingual.png
-
curl -L -o embedding_tsne_multilingual.png https://huggingface.co/wikilangs/din/resolve/main/visualizations/embedding_tsne_multilingual.png
250 kB

- Xet hash:
- 105ac8b233bc40bf5de27fb73369931b2c9e299384ca98ffe551b8c3205d742e
- Size of remote file:
- 250 kB
- SHA256:
- fe1f755986e4830d483e1561485a98b250bb127e977ec629ae4b68f2a2a4067d
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