Fix: Enable CPU-only mode for AMD/non-NVIDIA systems #41
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- Make device and compute_type parameters configurable in FasterWhisperASR
- Add model_size_or_path parameter support for custom models
- Fix hardcoded CUDA device causing RuntimeError on AMD systems
- Remove pyannote_vad import to avoid NumPy 2.0 compatibility issues
- Maintain backward compatibility: defaults to cuda+float16 for NVIDIA users
Fixes runtime errors on AMD GPUs and CPU-only systems:
RuntimeError: CUDA failed with error CUDA driver version is insufficient
Tested on: AMD Ryzen 12-thread, Ubuntu 24.04, Python 3.12
Usage for CPU-only:
--asr-args '{"model_size_or_path": "turbo", "device": "cpu", "compute_type": "int8"}'
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Fixes runtime errors on AMD GPUs and CPU-only systems:
RuntimeError: CUDA failed with error CUDA driver version is insufficient
Tested on: AMD Ryzen 12-thread, Ubuntu 24.04, Python 3.12
Usage for CPU-only:
--asr-args '{"model_size_or_path": "turbo", "device": "cpu", "compute_type": "int8"}'