Instructions to use internetoftim/speecht5_tts-pld-fil-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use internetoftim/speecht5_tts-pld-fil-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-to-speech', 'internetoftim/speecht5_tts-pld-fil-ONNX');
speecht5_tts-pld-fil-ONNX
ONNX / Transformers.js export of sapinsapin/speecht5_tts-pld-fil, bundled with the microsoft/speecht5_hifigan vocoder.
import { pipeline } from '@huggingface/transformers';
const tts = await pipeline('text-to-speech', 'internetoftim/speecht5_tts-pld-fil-ONNX', { dtype: 'q8', device: 'wasm' });
const out = await tts('Kumusta ka?', { speaker_embeddings: SPEAKER_EMBEDDING_URL });
Requires an external speaker embedding (SpeechT5 architecture). spm_char.model is byte-identical to microsoft/speecht5_tts, so the upstream fast tokenizer.json is reused. q8 weights total ~180 MB.
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Model tree for internetoftim/speecht5_tts-pld-fil-ONNX
Base model
microsoft/speecht5_tts Finetuned
sapinsapin/speecht5_tts-pld-fil