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:
- 1b0f339bf25cfbdc47bff697073dd3c5c6fc51e91404dba2ecb4464ba35588ac
- Size of remote file:
- 713 kB
- SHA256:
- a4d58def984d7bb9169e2c7f8c0e65451561a8ff8d0b7f6a598c0b87b7d16f8e
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