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

- Xet hash:
- f00a865448651ab551f9f1e14863bc2f79d7f2c69503695e4907b2983e889754
- Size of remote file:
- 641 kB
- SHA256:
- abc0e5ad8ae4d5b937ac3a46c2acd33066cd312d49371c9979f64f6ea90550ba
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