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:
- 36f7e8ce536fbd7e76a116802901366a24c67bb4ae67618b6e63b8819d76676b
- Size of remote file:
- 108 kB
- SHA256:
- 537217a40d28b54bd0d99a0997b05e232f457d2d90fd8f71c7dff36004b26e73
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