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echo-dust
/
kokoro-82m

Text-to-Speech
Transformers.js
ONNX
style_text_to_speech_2
kokoro
webgpu
Model card Files Files and versions
xet
Community

Instructions to use echo-dust/kokoro-82m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers.js

    How to use echo-dust/kokoro-82m with Transformers.js:

    // npm i @huggingface/transformers
    import { pipeline } from '@huggingface/transformers';
    
    // Allocate pipeline
    const pipe = await pipeline('text-to-speech', 'echo-dust/kokoro-82m');
kokoro-82m
624 MB
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  • 1 contributor
History: 2 commits
echo-dust's picture
echo-dust
Kokoro-82M v1.0 ONNX mirror: WebGPU-patched fp32, official uint8/q8, tokenizer, voices
9dc7a52 verified about 1 month ago
  • onnx
    Kokoro-82M v1.0 ONNX mirror: WebGPU-patched fp32, official uint8/q8, tokenizer, voices about 1 month ago
  • voices
    Kokoro-82M v1.0 ONNX mirror: WebGPU-patched fp32, official uint8/q8, tokenizer, voices about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    2.55 kB
    Kokoro-82M v1.0 ONNX mirror: WebGPU-patched fp32, official uint8/q8, tokenizer, voices about 1 month ago
  • config.json
    44 Bytes
    Kokoro-82M v1.0 ONNX mirror: WebGPU-patched fp32, official uint8/q8, tokenizer, voices about 1 month ago
  • tokenizer.json
    3.5 kB
    Kokoro-82M v1.0 ONNX mirror: WebGPU-patched fp32, official uint8/q8, tokenizer, voices about 1 month ago
  • tokenizer_config.json
    113 Bytes
    Kokoro-82M v1.0 ONNX mirror: WebGPU-patched fp32, official uint8/q8, tokenizer, voices about 1 month ago