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
Download visualizations/tsne_sentences.png from wikilangs/azb: direct link, hf CLI and curl.
- Browser
- Download file 237 kB
-
https://huggingface.co/wikilangs/azb/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/azb/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/azb/resolve/main/visualizations/tsne_sentences.png
237 kB

- Xet hash:
- 906365a5a06656d7c52fc8988f72adf14dbdd8ad2031f3f97fcfb94c2194bf97
- Size of remote file:
- 237 kB
- SHA256:
- cf16eb0ff7bbf928478802abc8f3ffac1588345408698cd64a236dbca5f5c19d
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