Text Generation
fastText
Cebuano
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-austronesian_philippine_central
Instructions to use wikilangs/ceb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/ceb with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/ceb", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_sentences.png from wikilangs/ceb: direct link, hf CLI and curl.
- Browser
- Download file 226 kB
-
https://huggingface.co/wikilangs/ceb/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/ceb/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/ceb/resolve/main/visualizations/tsne_sentences.png
226 kB

- Xet hash:
- f406a177909a79bdff291777cf6f7e9a6aaca77b9194043c1f81ddf518dc8eab
- Size of remote file:
- 226 kB
- SHA256:
- 7587eb1442b6cd31cf746957465edf257bbf362a52cc63f42220046ba6dd1ddc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.