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:
- 283d2198b8cf40088624db305112856480da332ea7be51c8d214f2bff3314cf1
- Size of remote file:
- 163 kB
- SHA256:
- ffd7dd2f96c76c0679aafea7470a57948fe89ba3194745827e488038242abd1d
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