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:
- 265aa30e573f1cb4ea6022cabcb38ca5843d917bdf55d7cf3fa68e303e9865ae
- Size of remote file:
- 1.58 MB
- SHA256:
- 13fb9146ccc987d8348850cd7f86147becb11eecc2f83af5afc00e1993d03c73
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