Comments (3)
I don't think we can limit RAM but CPU yes there is a threads
option
--threads THREADS number of threads used for CPU inference (default: 0)
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RAM usage largely depends on model size since it must be loaded to RAM (multiplied by the number of runners since models aren't shared in memory).
For example with whisper-ctranslate2
(which uses faster-whisper
which is CPU friendly) the models tend to be larger than the one provided for openai-whisper
:
large-v3
~3GBmedium
~1.5GBtiny
~75MB
Of course, transcript quality will get worse the further you decrease the size.
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Thanks for the information @lutangar ! Good to know.
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