Text Generation
fastText
Estonian
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-uralic_finnic
Instructions to use wikilangs/et with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/et with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/et", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 085b638b77edbf4aaec667dded57058f308331cbf7b07f0182e800bdc71bcb27
- Size of remote file:
- 370 kB
- SHA256:
- 92a36c0d7a4b675900d1c0b267ed2dc52106b1d6caa7945feaf933adb04a8f62
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