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

- Xet hash:
- a446ed27bd3e2fd709974b5621dbc194907d547e19e8b7ef77054e5d656f5962
- Size of remote file:
- 250 kB
- SHA256:
- 93718078f14e16729e8f8648a2ae851159503c3659c95d56cd2cc0d3214441f7
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