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:
- b79a2b56f9fb3a7e0f3f9a8e7fa774bc2282f40c1d5d7017a86a3eaef8f3dbd1
- Size of remote file:
- 146 kB
- SHA256:
- 4492f6a5147af1622953f1f756a34e8451531845184d39930c9e3f27c14debfb
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