Comments (4)
guillaumekln
commented on May 11, 2024
1
Hi,
This project only contains a Python library. It does not include command line tools. So you would need to create a Python script as shown in the README, and then run this script from the command line.
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guillaumekln
commented on May 11, 2024
1
I think I would like to keep this module simple and only expose a Python library. Command line tools quickly become packed with many options as users have different usage of the software.
Of course I'm open to revisit this if there is a popular demand for a command line utility.
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dodysw
commented on May 11, 2024
1
I adjusted open-ai whisper cli to faster-whisper here: https://gist.github.com/dodysw/e0af41d990def8bbeb8934eeabd77688
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mliradelc
commented on May 11, 2024
If someone makes the files to add command line tools, would you accept that PR or is out of the scope for this project?
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Related Issues (20)
- Transcription Segment Length Issue in Converted Whisper Model HOT 3
- run error HOT 1
- Supporting Distil-Whisper HOT 4
- Best strategy for low-latency, high-throuhgput serving in Multi-GPU setups HOT 3
- Module 'os' has no attribute 'add_dll_directory' in Raspberry Pi
- Speculative Decoding HOT 2
- _Warning: Package 'faster _whisper.assets' is absent from the `packages` configuration. HOT 3
- CUDA Initialisation error HOT 3
- Large-v3 model hallucinates, large-v2 doesn't HOT 8
- I can't use language='zh' when I use large-v3 HOT 3
- 2 wavs file with same content generate different result HOT 4
- Problem with audio HOT 5
- How to run HOT 2
- CUDA 12 required? HOT 4
- faster-whisper docker example? HOT 2
- Word-level timestamps are off by some multiplier HOT 1
- Does it support converting to ONNX format models？
- question: client sdk HOT 1
- RuntimeError: CUDA failed with error CUDA driver version is insufficient for CUDA runtime version HOT 2
- Whisper-live taking same time on CPU and GPU to transcribe an audio HOT 4
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