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

- Xet hash:
- 399c82fce2cff65fdd1ec61e049abacd3d59a50f4168798c0cadc1b35ea6918f
- Size of remote file:
- 369 kB
- SHA256:
- 7581baffe624b208fcae11614116eb57fec2bf1a3497939536c1fa8ab34135eb
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