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/performance_dashboard.png from wikilangs/sah: direct link, hf CLI and curl.
- Browser
- Download file 404 kB
-
https://huggingface.co/wikilangs/sah/resolve/main/visualizations/performance_dashboard.png
- Command line
-
hf download hf://wikilangs/sah/visualizations/performance_dashboard.png
-
curl -L -o performance_dashboard.png https://huggingface.co/wikilangs/sah/resolve/main/visualizations/performance_dashboard.png
404 kB

- Xet hash:
- c75cb50f5b012bb300ac9fc547c66ffb74cc4ff86c5eed16674e5afeb04247c7
- Size of remote file:
- 404 kB
- SHA256:
- a67d8fab55936ff2158ca4ea1e5b484003e6b4741d3a0dd024fd2694da0833fc
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