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:
- 32c7bac93e42c19d105731a7b347b45e762e9f849725ed86a68e67744d4e7f30
- Size of remote file:
- 116 kB
- SHA256:
- 60fbc6b61c7ba8e493f3cc09b576d4ff80738047ee4b86a37328eaf0ab0584c6
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