Instructions to use jmjHappy/inference-engine-whisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- unity-sentis
How to use jmjHappy/inference-engine-whisper-tiny with unity-sentis:
string modelName = "[Your model name here].sentis"; Model model = ModelLoader.Load(Application.streamingAssetsPath + "/" + modelName); IWorker engine = WorkerFactory.CreateWorker(BackendType.GPUCompute, model); // Please see provided C# file for more details
- Notebooks
- Google Colab
- Kaggle
| { | |
| "code": [ | |
| "RunWhisper.cs" | |
| ], | |
| "models": [ | |
| "models/decoder_model.onnx", | |
| "models/decoder_with_past_model.onnx", | |
| "models/encoder_model.onnx", | |
| "models/logmel_spectrogram.onnx" | |
| ], | |
| "data": [ | |
| "data/vocab.json" | |
| ], | |
| "version": [ | |
| "2.2.0" | |
| ] | |
| } |