Text Generation
fastText
Ndonga
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_central
Instructions to use wikilangs/ng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/ng with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/ng", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- d6980afa96855e8460812aa90002ada88251d0d0d15cac4bcd1e8bdf450b710d
- Size of remote file:
- 376 kB
- SHA256:
- 9eb28f5eb94f8721c9170ea6ed0e57fa25f358a41fad40db233dc727e3b780f4
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