Text Generation
fastText
Yakut
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_siberian
Instructions to use wikilangs/sah with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/sah with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/sah", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/zipf_law.png from wikilangs/sah: direct link, hf CLI and curl.
- Browser
- Download file 103 kB
-
https://huggingface.co/wikilangs/sah/resolve/main/visualizations/zipf_law.png
- Command line
-
hf download hf://wikilangs/sah/visualizations/zipf_law.png
-
curl -L -o zipf_law.png https://huggingface.co/wikilangs/sah/resolve/main/visualizations/zipf_law.png
103 kB

- Xet hash:
- 65812c838ce3b16a1f585a0bc9551f31427f49ac17626b77bba7f0732595169a
- Size of remote file:
- 103 kB
- SHA256:
- 3fe4fab743d75c6c56b6eca62684b201681e50be68e4e1ffabf97669aec6658a
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