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@@ -25,7 +25,7 @@ It also runs very fast on CPU too!
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  Use cases could be for ASR tasks (some models give text without casing and punctuation, like on auto-generated subtitles for YouTube videos from 2023/2024/2025)
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  ## Limitations
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- This model was trained ONLY on English Tatoeba data and doesn't do well for other languages.
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  Also, it doesn't do perfectly sometimes (especially with proper nouns like "Minecraft").
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  Use cases could be for ASR tasks (some models give text without casing and punctuation, like on auto-generated subtitles for YouTube videos from 2023/2024/2025)
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  ## Limitations
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+ This model was trained ONLY on English Tatoeba data (from 21 Feburary 2026) and doesn't do well for other languages.
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  Also, it doesn't do perfectly sometimes (especially with proper nouns like "Minecraft").
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