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

- Xet hash:
- bad515592b0cf844d27de002304a0046f79b11bb0b0dd1e777019ed7b5075f2f
- Size of remote file:
- 677 kB
- SHA256:
- cb9b577b7dccb07c6ae5af89e78f0a674915ad41391a1e87fd296331c686542e
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