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

- Xet hash:
- 1d7a5b8b130ad0220f40427aa95ef0e2f8295577951ee7ebfa448dba4ecf9122
- Size of remote file:
- 115 kB
- SHA256:
- 265691a8e2689cfc0ac1356ac41e0cb55e9f514e55ecdabc8ec8426fec9e1eca
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