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:
- cf06e05b84a129ca50879a07f6eba5b2bdbc9a40ce1dbb3e67758cf8d9680fa1
- Size of remote file:
- 234 kB
- SHA256:
- da18806d032121a329ea2a51e172889ee626270cd4568954d07019d8a5c5bec8
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