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

- Xet hash:
- 382aefad7730ce09507844355304e17851b8b1eca192083c284cb512d4a5509b
- Size of remote file:
- 108 kB
- SHA256:
- 477768108e4932c5fccb7a218b1a0d318e8e9b96d68c7fbfe3e0d77832fbc584
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