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:
- 48355809bff00a278c4e359d7b83b00b81f2cad18f18ec231eb91fe2e24c1410
- Size of remote file:
- 251 kB
- SHA256:
- 2461d3fa34cb3ff91fd85f4ea2abe95781257a65188a152eda4cf930979e3c10
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