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:
- 0f0d42b26477c8b93ccd3d115a2d21ce48748a7a7e48983cf3fb24faf1fb024d
- Size of remote file:
- 118 kB
- SHA256:
- 09f3a9730af7432588bfad3399d1544dabf3e3048d16f9ef4511ee8e19cf98e6
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