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:
- 6fc31697b27447bbcfc7fdf3fcd65dea85725f8767567dc3ec998c434a68eecd
- Size of remote file:
- 106 kB
- SHA256:
- bb37cd6fd989c02212917324aaee40c93e35cd40f68bbc1282d4630a653cbd3d
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