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

- Xet hash:
- 05c792d85e829ec4c04d02853aae3f5c935cb1351c9182e703793df7d3d29651
- Size of remote file:
- 226 kB
- SHA256:
- 072f5a25994f84cb867409812f401d742aaf203f893d41f1d3c5c8db75f02be6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.