This is a package of the whisper engine that you can install and use without complicated initialization and construction processes.
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First you need to install the FastWhishper environment: pip install faster-whisper
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How to use it:
size = "large-v2" model = "model_path" language = "zh" whisper = whisperEngine(size, model, language) whisper.load_model() text = whisper.do_transcribe(audio_file)
- model language default chinese: chinese (zh) english (en)
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Release files for whisperEngine 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| whisperEngine-1.0.0.tar.gz | 2.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| whisperEngine-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.1 kB
Release files / whisperEngine-1.0.0.tar.gz
| Download URL | whisperEngine-1.0.0.tar.gz |
|---|---|
| Size | 2.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/4.0.2 CPython/3.10.0
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Release files / whisperEngine-1.0.0-py3-none-any.whl
| Download URL | whisperEngine-1.0.0-py3-none-any.whl |
|---|---|
| Size | 3.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.0
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