Text Generation
fastText
Sundanese
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-austronesian_javanese
Instructions to use wikilangs/su with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/su with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/su", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/embedding_tsne_multilingual.png from wikilangs/su: direct link, hf CLI and curl.
- Browser
- Download file 267 kB
-
https://huggingface.co/wikilangs/su/resolve/main/visualizations/embedding_tsne_multilingual.png
- Command line
-
hf download hf://wikilangs/su/visualizations/embedding_tsne_multilingual.png
-
curl -L -o embedding_tsne_multilingual.png https://huggingface.co/wikilangs/su/resolve/main/visualizations/embedding_tsne_multilingual.png
267 kB

- Xet hash:
- 14b9ea40de22209bbdc527770a19aa1b0d1201986be3c1fca589371d7f554253
- Size of remote file:
- 267 kB
- SHA256:
- 713244cfd7dcf94c646cee8aef596285550f6dd59e4b3648c52679cbf3b51c4c
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