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:
- e600a89b19a3b5040a227d674a55868cb9a9f3db31040917d0eda856c894c81a
- Size of remote file:
- 389 kB
- SHA256:
- cd8c72ed6df3fcd99aa1033f76398e8a6c25a54466230da7167489560937e45a
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