extern/whisper.cpp
1
0
Fork 1
mirror of https://github.com/ggerganov/whisper.cpp.git synced 2025-04-18 16:28:33 +02:00
Code Issues Packages Projects Releases Wiki Activity

whisper.swiftui : Add Core ML support to README [no ci] (#2921)

Browse Source 
This commit updates the README to include instructions on how to use
a Core ML model with the example.
This commit is contained in:
Daniel Bevenius 2025-03-21 11:38:32 +01:00 committed by GitHub
parent 663cafc1e8
commit 3fc6ad97a3
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 13 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

13
examples/whisper.swiftui/README.md
View File

@ -33,6 +33,19 @@ sudo xcode-select -switch /Applications/Xcode.app/Contents/Developer
**Note:** Pay attention to the folder path: `whisper.swiftui.demo/Resources/models` is the appropriate directory to place resources whilst `whisper.swiftui.demo/Models` is related to actual code. **Note:** Pay attention to the folder path: `whisper.swiftui.demo/Resources/models` is the appropriate directory to place resources whilst `whisper.swiftui.demo/Models` is related to actual code.
### Core ML support
1. Follow all the steps in the `Usage` section, including adding the ggml model file.
2. Follow the [`Core ML support` section of readme](../../README.md#core-ml-support) to convert the
model.
3. Add the Core ML model (`models/ggml-base.en-encoder.mlmodelc/`) to `whisper.swiftui.demo/Resources/models` **via Xcode**.
When the example starts running you should now see that it is using the Core ML model:
```console
whisper_init_state: loading Core ML model from '/Library/Developer/CoreSimulator/Devices/25E8C27D-0253-4281-AF17-C3F2A4D1D8F4/data/Containers/Bundle/Application/3ADA7D59-7B9C-43B4-A7E1-A87183FC546A/whisper.swiftui.app/models/ggml-base.en-encoder.mlmodelc'
whisper_init_state: first run on a device may take a while ...
whisper_init_state: Core ML model loaded
```
[^1]: I recommend the tiny, base or small models for running on an iOS device. [^1]: I recommend the tiny, base or small models for running on an iOS device.
[^2]: The `Release` build can boost performance of transcription. In this project, it also added `-O3 -DNDEBUG` to `Other C Flags`, but adding flags to app proj is not ideal in real world (applies to all C/C++ files), consider splitting xcodeproj in workspace in your own project. [^2]: The `Release` build can boost performance of transcription. In this project, it also added `-O3 -DNDEBUG` to `Other C Flags`, but adding flags to app proj is not ideal in real world (applies to all C/C++ files), consider splitting xcodeproj in workspace in your own project.