ONNX Model Zoo

ae9is/parakeet-tdt-0.6b-v3-onnx

By ae9is · ↓ 0 · ♥ 0 · Updated 2026-03-22

What's in this repo

This page lists the files in ae9is/parakeet-tdt-0.6b-v3-onnx, including decoder_model_merged.onnx, decoder_model_merged_int8.onnx, encoder_model.onnx and more.

  • 5 ONNX models (.onnx files)
  • 14 files, including 5 .json, 5 .onnx, 1 .md, 1 .data, 1 .txt
  • Last updated 2026-03-22

ONNX files

File Size Download
onnx/decoder_model_merged.onnx — Download
onnx/decoder_model_merged_int8.onnx — Download
onnx/encoder_model.onnx — Download
onnx/encoder_model_int8.onnx — Download
onnx/nemo128.onnx — Download

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

README

NVIDIA Parakeet TDT 0.6B V3 (Multilingual) model converted to ONNX format for onnx-asr, and then some configuration changed for Transformers.js.

Important: The following example requires a custom version of Transformers.js here.

  const model = 'ae9is/parakeet-tdt-0.6b-v3-onnx'
  let transcriber = await pipeline('automatic-speech-recognition', model)
  const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/french-audio.wav'
  let audioData = await loadAudio(url)
  // Transcribe French
  let output = await transcriber(audioData, { language: 'french', task: 'transcribe' })
  const expected = " J'adore, j'aime, je n'aime pas, je déteste."
  console.log('output', output?.text)
  console.log('expected', expected)
  await transcriber.dispose()

Model info

onnx parakeet_tdt automatic-speech-recognition en es fr de bg hr cs da nl
↓ 0 ♥ 0

Created: 2026-03-22

Updated: 2026-03-22

View on Hugging Face

Files (14)

.gitattributes
README.md
config.json
onnx/decoder_model_merged.onnx ONNX
onnx/decoder_model_merged_int8.onnx ONNX
onnx/encoder_model.onnx ONNX
onnx/encoder_model.onnx.data
onnx/encoder_model_int8.onnx ONNX
onnx/nemo128.onnx ONNX
preprocessor_config.json
special_tokens_map.json
tokenizer.json
tokenizer_config.json
vocab.txt

Related models