use case · basics
The core move: give the model some text and it returns one of 20 languages with a confidence score, plus the full probability distribution over every language. Try the samples or type your own.
Each language has its own tell — the Cyrillic script for Russian, Han characters for Chinese, Thai script, or the function words and morphology of German and Spanish. Because every language shares one embedding space, the model doesn't need a separate detector per language.
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