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

- Xet hash:
- 85770c3939759f254e3c2c53ee493b7d844c1787684c02428e9f71c9b6acdc47
- Size of remote file:
- 660 kB
- SHA256:
- 4f6080c5224db871bda5f3005d3c19708b7f25e914e2333c698d99be23537432
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