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:
- bd567963c425ee1251532948cfaedf9bce1627c3341433e198439d7266955ff9
- Size of remote file:
- 659 kB
- SHA256:
- 7f226ecd8e60b4a57fc0d40f4ef0833cc75dc284ba1640b1b08106ce6a4a2466
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