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A python package for deep multilingual punctuation prediction.

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Can you improve it for SRT subtitle file? the SRT subtitle format like this: 1 00:00:00,000 --> 00:00:04,000 Guess how much I love you 2 00:00:04,000 --> 00:00:11,000 One autumn...

Firstly, many thanks for your awesome project which can help me do nice punctuation, but for transformer pipeline, I hope I can pass in some config to make it works...

This will help if you do not want to redownload all the model files (which is nearly 2.5 GB min) Just send the local path as a parameter @oliverguhr

Hi and thanks a lot for the great tool! Seems that in the original punctuation removal step, punctuation in numbers is [intentionally kept](https://github.com/oliverguhr/deepmultilingualpunctuation/blob/8138125f74a8c2f67a6bce0425249ca6d108dc11/deepmultilingualpunctuation/punctuationmodel.py#L15). Perhaps due to decimal point issues or...

enhancement
help wanted
good first issue