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

- Xet hash:
- 9ef8100ce7ce5db540b9f54fb4e495eb1af61dda90619887fb1506b3002d4c6d
- Size of remote file:
- 111 kB
- SHA256:
- 921b5e7dc77d383a79f57dfc2d931c5badf68c2a521feee74274ca3f4b22e985
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