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:
- 41a2c9b7e42a8769044f98a61ddafe55d7933fefeb480d0b1849762f50fa1a7e
- Size of remote file:
- 282 kB
- SHA256:
- 07236bf4b0b4d808155a763ce31ecc57c74d6fa43e5dd755636f7d8d7ca8c4d7
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