Text Generation
fastText
Zulu
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/zu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/zu with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/zu", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a0d664386043de1efaffca3e9325979d0c9d1f1c3310a8c4d4d12db901a7d59
- Size of remote file:
- 1.4 MB
- SHA256:
- 37ac3e156ec6fb008071fb924f37873f611a88779c29e49908dea89ef50e3e6c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.