Text Generation
fastText
Nias
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_other
Instructions to use wikilangs/nia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/nia with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/nia", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/embedding_tsne_multilingual.png from wikilangs/nia: direct link, hf CLI and curl.
- Browser
- Download file 231 kB
-
https://huggingface.co/wikilangs/nia/resolve/main/visualizations/embedding_tsne_multilingual.png
- Command line
-
hf download hf://wikilangs/nia/visualizations/embedding_tsne_multilingual.png
-
curl -L -o embedding_tsne_multilingual.png https://huggingface.co/wikilangs/nia/resolve/main/visualizations/embedding_tsne_multilingual.png
231 kB

- Xet hash:
- 82f3c5b9da91ad2a706ba323fa1ea9b425445ce6f4ced30f5a6c232b4b5417a5
- Size of remote file:
- 231 kB
- SHA256:
- 7a6af5faf25f1195253cb5b346b997eeb3b7f7de5910e00a24123a1180635106
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