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:
- 63b4a63b3d7c810d44a6b8b751daa8adf64ef99798d0e46134c805a5ce51dc95
- Size of remote file:
- 405 kB
- SHA256:
- f355608a6f4736c41ba7bd353426790cf7e56ab3507e4608dddac5ea31e303cc
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