This library implements high-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model.

The library requires a hardware GPU which supports Direct3D 11.0, a 64-bit Windows OS, only works within 64-bit processes, and requires a 64 bit CPU which supports AVX1 and F16C extensions.

The main entry point of the llibrary is Whisper.Library static class. Call loadModel function from that class to load an ML model from a binary file.

These binary files are available for free download on Hugging Face.
I recommend ggml-medium.bin (1.42GB in size, but that web page says 1.53 GB), because I’ve mostly tested the software with that model.
Compressed models in ZIP format with mlmodelc in the file name are not supported.

Once the model is loaded, create a context by calling createContext extension method, then use that object to transcribe or translate multimedia files or realtime audio captured from microphones.