Text Generation
fastText
Uyghur
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_other
Instructions to use wikilangs/ug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/ug with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/ug", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_sentences.png from wikilangs/ug: direct link, hf CLI and curl.
- Browser
- Download file 165 kB
-
https://huggingface.co/wikilangs/ug/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/ug/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/ug/resolve/main/visualizations/tsne_sentences.png
165 kB

- Xet hash:
- 8cb8cbf217205c7dbe056e22e079496cc2b3bfe6af86b1122d7290244d4da7df
- Size of remote file:
- 165 kB
- SHA256:
- e998a05aee0b2a6e60bdc426ce6a75d089faf26160d84312d784dda175175e7e
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