Text Generation
fastText
Ido
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_auxlang
Instructions to use wikilangs/io with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/io with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/io", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 91b0f11214f1ae102d672eefdb9de1bb62b94cf1f7cc30470a996aea8214bd65
- Size of remote file:
- 219 kB
- SHA256:
- 20d862fe54ec1da5470498b59fe7d55f379f5ae8300ec2bb6c843311c3b3b131
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