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Saurav Panda

sauravpanda

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AI & ML interests

Small models and edge runtime!

Recent Activity

liked a model about 2 hours ago

OuteAI/Lite-Mistral-150M-v2-Instruct

replied to Xenova's post 3 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 🤗 Transformers.js. WebGPU support coming soon! 👉 npm i kokoro-js 👈 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! 🤗 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! 🤯

replied to Xenova's post 3 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 🤗 Transformers.js. WebGPU support coming soon! 👉 npm i kokoro-js 👈 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! 🤗 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! 🤯

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