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

- Xet hash:
- aa57e8d936e0df6a91284a54d30dfff294c5f03e4356ea99ad33e8566309691c
- Size of remote file:
- 356 kB
- SHA256:
- e561fc91f874748e9741fa906815389126d8e706b81ce9aeb3eb13305ca1bad7
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