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

- Xet hash:
- cb956f59d6c7a3ad5f134df6f028244d547b46a2ad089dc67a7714938a933e28
- Size of remote file:
- 115 kB
- SHA256:
- 94dc0e8433f7d4b0de7a7b47cba681f7bd49fa592b314c56b3709a9c9ec3aec0
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