Text Generation
fastText
nah
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-american_nahuatl
Instructions to use wikilangs/nah with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/nah with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/nah", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 6479b1d62df6f003d1ee5c055189d43893ff6e74b3bf494f13f2fdfad3ea2369
- Size of remote file:
- 118 kB
- SHA256:
- 2e716d0294fbf72633ac9993528ad7e1603afd11d289ba8877f1b0d04d3451b4
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