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:
- 8db77486bad07f2f311562f8f66e12832991b51f9018fcd4727745ba7ed6ecc6
- Size of remote file:
- 688 kB
- SHA256:
- 43f0eb1ca718eb6a61d2a85cf514d5d341403cc77dc84b6f8a871f4d7c7abe87
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