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:
- 08bf8e7e82f2e3129152277f76ff86442354555aad1966271e6c8cde28a017a0
- Size of remote file:
- 368 kB
- SHA256:
- 66f336bc22fc1accb2a5ae70bfc1021aa873338cd724af5d86c7375b63ed7201
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