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

- Xet hash:
- 82972eaed5d025d07d84f6a11faba439751052608cdf7807278d7759fe8488cf
- Size of remote file:
- 110 kB
- SHA256:
- 3867d15ae572164fb555260b6b7562c18f399a01b83991580ae947c12431f618
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.