Text-to-Speech
Transformers.js
ONNX
llama
text-generation
speech-synthesis
multilingual
indic
orpheus
snac
webgpu
Instructions to use shreyask/svara-tts-v1-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use shreyask/svara-tts-v1-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-to-speech', 'shreyask/svara-tts-v1-ONNX');
docs: rename q8 file refs to model_quantized.* (matches transformers.js v4 _quantized suffix for dtype=q8)
Browse files
README.md
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@@ -115,10 +115,10 @@ A complete worked example (React + Vite + WebGPU) lives at [`shreyaskarnik/svara
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βββ onnx/
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βββ model_q4f16.onnx (graph, ~1.3 MB)
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βββ model_q4f16.onnx_data (weights, ~1.95 GB single file)
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```
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q8 is sharded into <2 GB chunks to fit browser ArrayBuffer ceilings (matches the [`onnx-community/gpt-oss-20b-ONNX`](https://huggingface.co/onnx-community/gpt-oss-20b-ONNX) layout convention).
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βββ onnx/
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βββ model_q4f16.onnx (graph, ~1.3 MB)
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βββ model_q4f16.onnx_data (weights, ~1.95 GB single file)
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βββ model_quantized.onnx (graph, ~1.3 MB)
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βββ model_quantized.onnx_data (weights chunk 1, ~1.99 GB)
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βββ model_quantized.onnx_data_1 (weights chunk 2, ~1.84 GB)
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βββ model_quantized.onnx_data_2 (weights chunk 3, ~0.49 GB)
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```
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q8 is sharded into <2 GB chunks to fit browser ArrayBuffer ceilings (matches the [`onnx-community/gpt-oss-20b-ONNX`](https://huggingface.co/onnx-community/gpt-oss-20b-ONNX) layout convention).
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