Comments (4)
I loaded the whisper to the GPU just fine in windows. It has to be something with your torch version package, make sure its not for CPU only. Try
import torch
torch.cuda.is_available()
if it's return False, then you installed incorrect version of torch, or GPU doesn't detect your CUDA.
Try install pytorch from pytorch.org and make sure you can see your CUDA version with 'nvidia-smi.exe'
I have CUDA version 1.21 but i can install pytorch with 1.18 just fine
from whisper_mic.
My open pull request actually does exactly this and implements a cpu/gpu flag that defaults to gpu when torch.cuda.is_available()
from whisper_mic.
Will be looking at this PR soon
from whisper_mic.
This will now work if there are no issues with torch and cuda is available
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Related Issues (20)
- no transcript output HOT 2
- cannot import the function to another project HOT 2
- Takes considerable time to actually setup the mic and start transcribing HOT 1
- [Fix] Keyboard interrupt for listen_loop HOT 1
- mic.py does not exist in file or directory HOT 1
- Error while using the save_file to save the transcribed data HOT 1
- add large-v3 HOT 1
- Issues with Python Setup HOT 1
- ALSA lib error, invalid card HOT 4
- Proccess hanging in infinite loop when input audio is not loud enough HOT 2
- Feature Request: Use isolated-env to make the app bind to the GPU automatically on windows
- ModuleNotFoundError: No module named 'distutils' HOT 1
- Many incomplete segments, what is it even returning? predicted_text referenced before assignment. HOT 5
- Can't use mic in linux - ALSA errors HOT 1
- Sonoma 14.4.1 - Python 3.12 - Running whisper_mic returns errors HOT 1
- Feature requests HOT 1
- Crushes soon after start HOT 1
- Exacmples of mic = WhisperMic()
- please add biggest model large-v3 HOT 1
- Stuck on "Listening..." and can't recogise voice HOT 1
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