Comments (4)
I understand that CUDA 12 is supported, but does that mean that CUDA 11 is not supported anymore?
Latest versions of ctranslate2 are CUDA12 only, CUDA11 support would be nice.
At the moment for CUDA11 you need to downgrade it:
pip install --force-reinsall ctranslate2==3.24.0
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@sidharthrajaram , hello. FW has supported CUDA 12 since version 1.0.0, so you should update your cuda image, for example nvidia/cuda:12.0.0-runtime-ubuntu20.04
. For Dockerfile example, you can see in this comment.
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Hi @trungkienbkhn, thanks for the note. Yes, I understand that CUDA 12 is supported, but does that mean that CUDA 11 is not supported anymore? I followed the README's guidance on CUDA 11 (https://github.com/SYSTRAN/faster-whisper?tab=readme-ov-file#gpu), but had the above error.
However, as mentioned in this issue (#717 (comment)), simply downgrading FW resolved the issue.
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Ah, got it @Purfview. Thanks!
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Related Issues (20)
- Transcribe crash jupyter notebook kernels HOT 7
- Transcription contains unicode
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- support for running through docker HOT 2
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- Gibberish Outputs HOT 3
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- Will it support c++/c just like whisper.cpp? HOT 2
- With `faster-distil-whisper-large-v3` or `large-v3`, `transcribe` instruction is ignored (it translates instead) HOT 3
- ON arm64 'for segment in segments' run a lot of time HOT 2
- Faster whisper loads the wrong tokenizer for whisper-large-v3 derivatives HOT 2
- Having issue in decoding audio chunks properly for fasterWhisper transcribe func
- finetuning encounter multiple errors on the 2nd step (Fine-tuning XTTS Encoder) HOT 1
- clip_timestamps does not work across multiple files [faster-whisper 1.0.2] HOT 3
- What are the ways to improve the speed of continuously recognizing multiple audio files? HOT 1
- Silero-VAD Meta Hallucinations HOT 1
- Limited GPU Utilization with NVIDIA RTX 4000 Ada Gen HOT 13
- The Japanese conversion to the back has always been show thanks for listening ご視聴ありがとうございました what is the reason
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