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

- Xet hash:
- 127b3c4e61ce59138257da7d826f34c84dda3060bce4e4e0c033dd2adb7376ee
- Size of remote file:
- 390 kB
- SHA256:
- d603368eec96747e1882bf39f0971e7ee439a8021c3320f0879f1dbcc4b49187
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