Comments (5)
@LXRee , hello. You don't need to pass the local_files_only and cache_dir options, try replacing model_size with the local path of the model you downloaded instead of the model's name.
Ex:
model = WhisperModel("/path/faster-distil-whisper-large-v3", device="cuda")
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Yes, you should update to CUDA 12 for latest version of FW 1.0.2. If you use CUDA 11, you can try to downgrade ctranslate2 module to 3.24.0 as mentioned in here.
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Related Issues (20)
- 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
- Batch process available? HOT 2
- Word-level timestamps are off after hotwords is setted HOT 1
- Finetuning with Dora HOT 1
- Is there a method or parameter that can filter out noise that is not human voice? HOT 3
- The VAD parameters and default values in the source code is inconsistent with the description in README.md HOT 1
- how can I get more accurate timestamps? HOT 1
- Can not upload model to hub HOT 1
- TypeError: `pad_width` must be of integral type. HOT 3
- Minimum CUDA version HOT 1
- 有没有大佬遇到过 a problem RuntimeError: Cannot load the vocabulary from the model directory HOT 1
- Transcribe results being translated to different language HOT 11
- Local or remote? HOT 1
- issue with GPU utilization, RTX 3060 mobile, CUDA 12. HOT 2
- Question regarding avg_logprobability HOT 1
- distil-large-v3 is fast but exports wrong language / large-v3 is slow HOT 4
- Whisper invalid input feartures shape. HOT 2
- is their any example for onnx
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