Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up
Ali's picture

Ali

aeli3

AI & ML interests

None yet

Recent Activity

repliedto Xenova's post 23 days ago
Introducing Kokoro.js, a new JavaScript library for running Kokoro TTS, an 82 million parameter text-to-speech model, 100% locally in the browser w/ WASM. Powered by πŸ€— Transformers.js. WebGPU support coming soon! πŸ‘‰ npm i kokoro-js πŸ‘ˆ Try it out yourself: https://huggingface.co/spaces/webml-community/kokoro-web Link to models/samples: https://huggingface.co/onnx-community/Kokoro-82M-ONNX You can get started in just a few lines of code! ```js import { KokoroTTS } from "kokoro-js"; const tts = await KokoroTTS.from_pretrained( "onnx-community/Kokoro-82M-ONNX", { dtype: "q8" }, // fp32, fp16, q8, q4, q4f16 ); const text = "Life is like a box of chocolates. You never know what you're gonna get."; const audio = await tts.generate(text, { voice: "af_sky" }, // See `tts.list_voices()` ); audio.save("audio.wav"); ``` Huge kudos to the Kokoro TTS community, especially taylorchu for the ONNX exports and Hexgrad for the amazing project! None of this would be possible without you all! πŸ€— The model is also extremely resilient to quantization. The smallest variant is only 86 MB in size (down from the original 326 MB), with no noticeable difference in audio quality! 🀯
View all activity

Organizations

None yet

aeli3 's models

None public yet
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs