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

- Xet hash:
- 2c39b0017616b50004c2cfc8e276a387fbdf6019ccdc0f2bd8c24a1a9d23c935
- Size of remote file:
- 114 kB
- SHA256:
- f847daf1d73b7a23049d0103fbb7fe1b5769170b55372ea08a5ad52ab6e720a1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.