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

- Xet hash:
- b6574f051cedfda72845d27744843b53a596c5b8bf968468c2749b1eb8b4c2d9
- Size of remote file:
- 646 kB
- SHA256:
- ebaeed46b07d6800a47ead9a85ecee2ee6ed01754b9791b7a36541e226ea9ee1
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