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

- Xet hash:
- 08b6fa6aa89f0079c557d332ec05171a24a10d080b7c4c8e151256a8be040193
- Size of remote file:
- 159 kB
- SHA256:
- 21fe73b280183e02de488b4e687c0190bdd98a87a8d7dfd83283ab845a005753
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.