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_words.png from wikilangs/din: direct link, hf CLI and curl.
- Browser
- Download file 724 kB
-
https://huggingface.co/wikilangs/din/resolve/main/visualizations/tsne_words.png
- Command line
-
hf download hf://wikilangs/din/visualizations/tsne_words.png
-
curl -L -o tsne_words.png https://huggingface.co/wikilangs/din/resolve/main/visualizations/tsne_words.png
724 kB

- Xet hash:
- 34a7e14d09ceb17c6780b4a4c12e4c300f61cbdac6aaca66998b57e9a30fcb5d
- Size of remote file:
- 724 kB
- SHA256:
- d3ae27f4a9f67c6ba80c7136041f4483a350c7af211b2429c217e29f38339413
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