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:
- 469067e1de82dfebc572fb388b565502e1066e5c0ce5a30e7a6a075c8947c9e9
- Size of remote file:
- 116 kB
- SHA256:
- bc0611e955dd551032c39d1f108d3aa485337cf3cac20a6c271e654c1f0790be
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.