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:
- c25e76e9c16f185c46dd8d83821935564aeb361efba4c1cb7933c5fc86260b44
- Size of remote file:
- 217 kB
- SHA256:
- 9d49815b3914c0ca4f314f69ccaa98fda830d00ce6e451f8dc36dd58f69917ea
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