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

- Xet hash:
- cd791902a7dde9b9e51574353c10400b29b01c5e7bf93a2cec2f4f0e1e17e39d
- Size of remote file:
- 119 kB
- SHA256:
- cd7debdd75b349c77ee6739fff0afcd4903037e51a2139845f22842efcf911cc
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