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

- Xet hash:
- 06507d29b44cf8befc0de64a86d59a8065ac32f0e252c8952936ea6f05d236b3
- Size of remote file:
- 151 kB
- SHA256:
- 1a54a319e62c39e117717e19aa37b45088f078958bd935af4a87ceed13d51df2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.