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:
- f5a18679120fe5ac117ad612efdcde26f36430263bcc1475241cc4b2d48aff67
- Size of remote file:
- 353 kB
- SHA256:
- 31eb1f13045d9e0e4e93ac8abe765f669e24ee35f65cdd6ed96ea9d4b7487839
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