4.2 KiB
Install notes 📝
System Requirements
Windows: Version 8 or greater.
macOS: Version 13.3 or greater.
Linux: Tested on ubuntu-22.04+
Hardware: No special requirement. resource usage can be customized through advanced settings in main window.
Currently, listening for the audio file isn't supported on Linux
In addition you may need to set this environment variable before start it
export WEBKIT_DISABLE_COMPOSITING_MODE=1
Setting Up Summarization with Ollama
- Install Ollama
Download and install Ollama from https://ollama.com.
- Install a Model
Once installed, set up a model for summarization. For example, you can install llama3.1 by running the following command in your terminal:
ollama run llama3.1
- Enable Summarization
After the model is installed, open the Ollama app. Navigate to More Options and enable Summarize just before the transcription step. You can leave the settings at their default values.
Make sure to run the 'Run check` to see that it works
That's it! Summarization will now be active in Ollama.
Stable Timestamps (Subtitles / Movies)
Vibe includes a stable timestamp mode for tighter subtitle timing on long-form content.
- Open
More Options. - Enable
Stable timestamps. - If prompted, download the VAD model.
Notes:
- This mode is quality-first and typically around
4xslower than normal transcription. - Best for subtitle creation and movie/video transcript timing.
- VAD model used by default:
ggml-silero-v6.2.0.bin - Upstream model source:
https://huggingface.co/ggml-org/whisper-vad
Translating to English
Translation to English works only with Whisper small, medium, and large models. It does not work with Whisper large-v3-turbo.
If you need translation, download a supported model from the models docs.
Manual Install 🛠️
MacOS Apple silicon: install aarch64.dmg file from releases Don't forget to right click and open from Applications once
MacOS Intel: install x64.dmg file from releases Don't forget to right click and open from Applications once
Windows: install .exe file from releases
Linux: install .deb from releases (Arch users can use debtap)
All models available for manual install. see Pre built models
Offline Setup 💾
Offline installation with Vibe is easy: open the app, cancel the download, and navigate to the Customize section within settings.
All models available for manual install. see settings or Pre built models
Faster transcriptions on macOS (2-3x) 🌟
- Download the matching
.mlcmodelc.zipfor your model from https://huggingface.co/ggerganov/whisper.cpp/tree/main
- e.g.
ggml-medium-encoder.mlmodelc.zipmatchesggml-medium-encoder.bin
- Open models path from Vibe settings
- Drag and drop the
.mlcmodel.cfile into the models folder so that it is alongside the.binfile - Transcribe a file, the first time you use the model it will take longer as it is compiling the model. Every subsequent time it will be faster.
Error of msvc140.dll not found ❌
Download and install vc_redist.x64.exe
Special link to download models in vibe
You can add links to your websites for letting users download your models easily from your website directly to vibe.
The URL should be like
vibe://download/?url=https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-tiny.bin?download=true
Usage on linux server
To use Vibe on linux server you need to install fake display
sudo apt-get install xvfb -y
Xvfb :1 -screen 0 1024x768x24 &
export DISPLAY=1
wget https://github.com/thewh1teagle/vibe/releases/download/v0.0.1/ggml-medium.bin
wget https://github.com/thewh1teagle/vibe/raw/main/samples/single.wav
vibe --model ggml-medium.bin --file single.wav