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aufklarer/Parakeet-TDT-0.6B-ONNX

By aufklarer · ↓ 0 · ♥ 0 · Updated 2026-03-20

What's in this repo

This page lists the files in aufklarer/Parakeet-TDT-0.6B-ONNX, including parakeet-decoder-joint-int8.onnx, parakeet-decoder-joint.onnx, parakeet-encoder-int8.onnx and more.

  • 4 ONNX models (.onnx files)
  • 8 files, including 4 .onnx, 1 .md, 1 .data, 1 .json
  • Last updated 2026-03-20

ONNX files

File Size Download
parakeet-decoder-joint-int8.onnx — Download
parakeet-decoder-joint.onnx — Download
parakeet-encoder-int8.onnx — Download
parakeet-encoder.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

Parakeet TDT 0.6B — ONNX

Speech recognition for speech-android.

  • 0.6B params, FastConformer + TDT decoder
  • 25 European languages, 16 kHz input
  • SentencePiece vocabulary (1024 tokens)

Files

File Size Description
parakeet-encoder.onnx (+.data) 2.4 GB Encoder (FP32)
parakeet-encoder-int8.onnx 652 MB Encoder (INT8)
parakeet-decoder-joint.onnx 36 MB Decoder+Joint (FP32)
parakeet-decoder-joint-int8.onnx 9 MB Decoder+Joint (INT8)
vocab.json — SentencePiece vocabulary

Encoder

I/O Name Shape Type
in audio_signal [B, 128, T] float32
in length [B] int64
out outputs [B, 1024, T'] float32
out encoded_lengths [B] int64

Decoder+Joint

I/O Name Shape Type
in encoder_outputs [B, 1024, T'] float32
in targets [B, U] int32
in target_length [B] int32
in input_states_1 [2, B, 640] float32
in input_states_2 [2, B, 640] float32
out outputs [B, U, T', 1030] float32
out output_states_1/2 [2, B, 640] float32

Model info

onnx automatic-speech-recognition android speech en de fr es it pt nl pl
↓ 0 ♥ 0

Created: 2026-03-19

Updated: 2026-03-20

View on Hugging Face

Files (8)

.gitattributes
README.md
parakeet-decoder-joint-int8.onnx ONNX
parakeet-decoder-joint.onnx ONNX
parakeet-encoder-int8.onnx ONNX
parakeet-encoder.onnx ONNX
parakeet-encoder.onnx.data
vocab.json

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