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Purfview / whisper-standalone-win

Whisper & Faster-Whisper standalone executables for those who don't want to bother with Python.

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Preparations (in addition to cu* DLLs) for running on CUDA

MMasutin opened this issue · comments

commented

Just in case, I selected to post a question, not an issue.
I have so far failed to do it on different Nvidia GPUs, both older and quite recent. I don't understand versions required, i.e. compatibility issues with drivers and other files. Are there useful tips?
2) If an additional question is possible here, is there a variable to set 'minimum duration of pause/silence' that would mark a next segment?

commented

You didn't posted what is the issue with "CUDA". You can use libs from there -> https://github.com/Purfview/whisper-standalone-win/releases/tag/libs

  1. If an additional question is possible here, is there a variable to set 'minimum duration of pause/silence' that would mark a next segment?

Use --sentence, for it there is sub-parameter --max_gap. It's 3.0 seconds by default.

commented

Thanks for your reply! The issue is how to make the CUDA capabilities available, in general. Not an issue with the program but a question of how to ensure that the Nvidia GPU is recognized correctly. I know about the libs. It's not enough to add them, and I don't understand what other steps are required. Must the versions of some files be compatible? Is there a kind of check list? For example, I check the version of the Nvidia driver and then what?

commented

Not an issue with the program

Then I'm converting this to the discussion.

ensure that the Nvidia GPU is recognized correctly

I think, it's recognized or not, if not then post what error you get.