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/tsne_sentences.png from wikilangs/sah: direct link, hf CLI and curl.
- Browser
- Download file 286 kB
-
https://huggingface.co/wikilangs/sah/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/sah/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/sah/resolve/main/visualizations/tsne_sentences.png
286 kB

- Xet hash:
- 12a0205f6bc3bc202dc75d9d9e21c941e3a342378e4b421eac0339287927e7f4
- Size of remote file:
- 286 kB
- SHA256:
- 98035885d3792b49c96fae7a3d3d296127e574cb549580726715ce1abd7109b6
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