Comments (2)
I suspect you say that it's reloading something every time because you see the progress bar.
Is that it? (the progress bar indicates a "frames/s" rate on the right).
Note that you can use "verbose=None" if you want to avoid it.
Concerning the crash, I am sorry about the inconvenience. Can you check VRAM consumption to check whether it's memory overflow or not?
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@Jeronymous - thanks for the quick response. Yes, I imagine my crashing issue is mine to resolve. Probably something related to my hardware setup or configuration...not a VRAM issue in this case...already checked that. However, I wanted to make sure that there wasn't something obvious in my code/approach that was wrong.
From a speed standpoint, after adding "verbose=None", the delay between transcriptions seems to be gone. That said, and after a bit more testing, I'll see if I can get Triton to serve it...should be doable.
Thank you for this repo. Your work is excellent
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Related Issues (20)
- Broken link for plotting word alignment section HOT 7
- Loading finetuned model serialized with safetensors (and/or sharded models) HOT 10
- How to activate flash attention? HOT 2
- Could it be possible to apply the same technique to the whisper API? HOT 6
- ctranslate2 support HOT 1
- CPU only light install links are broken? HOT 3
- Issue with accented characters coming up as symbols in output json file
- Repetitive Phrase Looping HOT 3
- Bad timestamp prediction with some finetuned Whisper models HOT 9
- How to use cuda? HOT 2
- cuda is not available?
- cuda is not available? HOT 8
- There are plans to use ctranslate2 to speed up? similar to faster-whisper HOT 2
- Whether --max_line_width and --max_line_count are not supported? HOT 2
- When the transcription progress reaches 100%, it takes a long time to show the result, sometimes even up to 10 minutes. HOT 1
- What is it (very slowly) trying to download? HOT 4
- Output filenames aren't consistent with original openai-whisper implementation HOT 1
- Output syntaxically invalid vtt file (header appears twice) HOT 1
- Incorrect timestamps when using VAD with large model only
- Timestamps not provided per-word for Chinese/Japanese/Korean HOT 3
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