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_similarity.png from wikilangs/din: direct link, hf CLI and curl.
- Browser
- Download file 152 kB
-
https://huggingface.co/wikilangs/din/resolve/main/visualizations/embedding_similarity.png
- Command line
-
hf download hf://wikilangs/din/visualizations/embedding_similarity.png
-
curl -L -o embedding_similarity.png https://huggingface.co/wikilangs/din/resolve/main/visualizations/embedding_similarity.png
152 kB

- Xet hash:
- ef76ea65468a3844535f1cdebaac99451f777a6d20c5443a9813e92b08d3909b
- Size of remote file:
- 152 kB
- SHA256:
- 0bb1fdee60ba9ce05540afea2aa005541d1d2edad026857ce48776c6e4935844
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