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updated lanugaes

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@@ -75,6 +75,30 @@ The performance differs for the single punctuation markers as hyphens and colons
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  | macro average | 0.776942 |
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  | micro average | 0.963427 |
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  ## References
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  TBD
 
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  | macro average | 0.776942 |
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  | micro average | 0.963427 |
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+ ## Languages
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+
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+ ### Models
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+
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+ | Languages | Model |
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+ | ------------------------------------------ | ------------------------------------------------------------ |
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+ | English, Italian, French and German | [oliverguhr/fullstop-punctuation-multilang-large](https://huggingface.co/oliverguhr/fullstop-punctuation-multilang-large) |
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+ | English, Italian, French, German and Dutch | [oliverguhr/fullstop-punctuation-multilingual-sonar-base](https://huggingface.co/oliverguhr/fullstop-punctuation-multilingual-sonar-base) |
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+ | Dutch | [oliverguhr/fullstop-dutch-sonar-punctuation-prediction](https://huggingface.co/oliverguhr/fullstop-dutch-sonar-punctuation-prediction) |
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+
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+ ### Community Models
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+ | Languages | Model |
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+ | ------------------------------------------ | ------------------------------------------------------------ |
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+ |English, German, French, Spanish, Bulgarian, Italian, Polish, Dutch, Czech, Portugese, Slovak, Slovenian| [kredor/punctuate-all](https://huggingface.co/kredor/punctuate-all) |
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+ | Catalan | [softcatala/fullstop-catalan-punctuation-prediction](https://huggingface.co/softcatala/fullstop-catalan-punctuation-prediction) |
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+ You can use different models by setting the model parameter:
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+ ```python
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+ model = PunctuationModel(model = "oliverguhr/fullstop-dutch-punctuation-prediction")
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+ ```
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  ## References
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  TBD