Text Generation
fastText
Wolof
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-atlantic_other
Instructions to use wikilangs/wo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/wo with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/wo", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- db68a34b42e05357178074a80b7194fe09da2a0a1765881832fabaf49ae5ebe8
- Size of remote file:
- 378 kB
- SHA256:
- bd6e6324b8c81653fc74eb42b4f0af44cd1813f72502be14d3a3b6e79ac837ef
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.