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

- Xet hash:
- 7bd9d89b3705ff55c8d065c9546354187b3c943d135614efc7529b09e27a46e1
- Size of remote file:
- 267 kB
- SHA256:
- 17b71cb4a001f42fae13549dca569de7d57af200c08e644b1d1ad5974cb4e591
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