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:
- f5176d5445297fe66a2d1c45479338538f0bea8e1fb640516a52d91f9c780b82
- Size of remote file:
- 104 kB
- SHA256:
- c27a4ab94c3cf50914ca0b3bea56439c863fb56d8a0387cb7098aeeae78c7257
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