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

- Xet hash:
- e5d14ae7afee20615c3a00a13a26b498f369d9de829d5e9e9eb09d26fd51792f
- Size of remote file:
- 393 kB
- SHA256:
- 5af342ab911175107f270c7df35631215b59fc1abb2ac4c230e7a55a548f6c5c
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