Instructions to use Phreak87/moonshine-tiny-de-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Phreak87/moonshine-tiny-de-onnx with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('automatic-speech-recognition', 'Phreak87/moonshine-tiny-de-onnx');
Moonshine Tiny DE ONNX
ONNX export of dattazigzag/moonshine-tiny-de optimized for Transformers.js and WebGPU.
- German speech recognition
- Runs fully in-browser
- ~140 MB total (7.7 MB q8 encoder + 116 MB fp32 decoder)
Files:
- onnx/encoder_model_quantized.onnx โ q8 quantized encoder (7.7 MB)
- onnx/encoder_model.onnx โ fp32 encoder (31 MB)
- onnx/decoder_model_merged.onnx โ fp32 decoder (116 MB)
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