ONNX Model Zoo

varsan-g/hviske-v2-onnx

By varsan-g · ↓ 5 · ♥ 0 · Updated 2026-02-13

What's in this repo

This page lists the files in varsan-g/hviske-v2-onnx, including decoder_model_merged.onnx, decoder_model_merged_fp16.onnx, decoder_model_merged_int8.onnx and more.

  • 12 ONNX models (.onnx files)
  • 26 files, including 12 .onnx, 9 .json, 2 .onnx_data, 1 .md, 1 .txt
  • Last updated 2026-02-13

ONNX files

File Size Download
onnx/decoder_model_merged.onnx — Download
onnx/decoder_model_merged_fp16.onnx — Download
onnx/decoder_model_merged_int8.onnx — Download
onnx/decoder_model_merged_q4.onnx — Download
onnx/decoder_model_merged_q4f16.onnx — Download
onnx/decoder_model_merged_quantized.onnx — Download
onnx/encoder_model.onnx — Download
onnx/encoder_model_fp16.onnx — Download
onnx/encoder_model_int8.onnx — Download
onnx/encoder_model_q4.onnx — Download

Showing 10 of 12 .onnx files — see the full file list on the right.

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


library_name: transformers.js base_model: syvai/hviske-v2 tags:

  • onnx
  • whisper
  • transformers.js
  • automatic-speech-recognition
  • speech-to-text
  • danish
  • da
  • webgpu
  • browser language:
  • da pipeline_tag: automatic-speech-recognition license: openrail

Hviske v2 ONNX

ONNX export of syvai/hviske-v2 for use with Transformers.js in the browser.

Hviske v2 is a state-of-the-art Danish speech-to-text model, fine-tuned from openai/whisper-large-v3 on CoRal and Common Voice 17.0 datasets. Developed by syv.ai.

Performance

Model Parameters CoRal CER CoRal WER
syvai/hviske-v2 1540M 4.7% 11.8%
alexandrainst/roest-315 315M 6.6% 17.0%
openai/whisper-large-v3 1540M 11.4% 28.3%

Usage with Transformers.js

import { pipeline } from '@huggingface/transformers'

const transcriber = await pipeline(
  'automatic-speech-recognition',
  'varsan-g/hviske-v2-onnx',
)

const result = await transcriber(audioData)
console.log(result.text)

Model Details

  • Base model: openai/whisper-large-v3
  • Fine-tuned by: syv.ai
  • Language: Danish (da)
  • License: OpenRAIL
  • Format: ONNX (int8 quantized, single-file, no external data)
  • Encoder: 615 MB
  • Decoder: 932 MB

Conversion

Exported from PyTorch using Optimum and quantized with ONNX Runtime dynamic int8 quantization for browser compatibility:

optimum-cli export onnx --model syvai/hviske-v2 --task automatic-speech-recognition output/

File Structure

onnx/
  encoder_model.onnx           (615 MB)
  decoder_model_merged.onnx    (932 MB)

Model info

transformers.js onnx whisper automatic-speech-recognition speech-to-text danish da webgpu browser base_model:syvai/hviske-v2 base_model:quantized:syvai/hviske-v2 license:openrail
↓ 5 ♥ 0

Created: 2026-02-12

Updated: 2026-02-13

View on Hugging Face

Files (26)

.gitattributes
README.md
added_tokens.json
config.json
generation_config.json
merges.txt
normalizer.json
onnx/decoder_model_merged.onnx ONNX
onnx/decoder_model_merged.onnx_data
onnx/decoder_model_merged_fp16.onnx ONNX
onnx/decoder_model_merged_int8.onnx ONNX
onnx/decoder_model_merged_q4.onnx ONNX
onnx/decoder_model_merged_q4f16.onnx ONNX
onnx/encoder_model.onnx ONNX
onnx/encoder_model.onnx_data
onnx/encoder_model_fp16.onnx ONNX
onnx/encoder_model_int8.onnx ONNX
onnx/encoder_model_q4.onnx ONNX
onnx/encoder_model_q4f16.onnx ONNX
onnx/encoder_model_quantized.onnx ONNX
preprocessor_config.json
special_tokens_map.json
tokenizer.json
tokenizer_config.json
vocab.json

Related models