Text Generation
fastText
Saterfriesisch
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-germanic_west_continental
Instructions to use wikilangs/stq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/stq with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/stq", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 0156879b8b4a4cadf68ac6c3c1ea155d1cf5ba727d786295d2f4e7ebd84e4a70
- Size of remote file:
- 260 kB
- SHA256:
- 00c62713e57b9c4f145746c102ed05f5c372f051969084860596f086ed16a3cb
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