ONNX Model Zoo

OpenVoiceOS/stt-eu-conformer-ctc-large-onnx

By OpenVoiceOS · ↓ 0 · ♥ 0 · Updated 2026-02-17

What's in this repo

This page lists the files in OpenVoiceOS/stt-eu-conformer-ctc-large-onnx, including model.onnx.

  • 1 ONNX models (.onnx files)
  • 5 files, including 1 .md, 1 .json, 1 .onnx, 1 .txt
  • Last updated 2026-02-17

ONNX files

File Size Download
model.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

OVOS - STT Conformer CTC Large ONNX (Basque)

This model is an ONNX-format export of the model available at HiTZ/stt_eu_conformer_ctc_large, for ease of use in edge devices and CPU-based inference environments.

Requirements

The export is based on:

The requirements can be installed as

$ pip install nemo-tookit['asr'] onnx-asr

Usage

import onnx_asr
model = onnx_asr.load_model("OpenVoiceOS/stt-eu-conformer-ctc-large-onnx")
print(model.recognize("test.wav"))

Export

According to onnx-asr/convert-model-to-onnx:

import nemo.collections.asr as nemo_asr
from pathlib import Path

model = nemo_asr.models.ASRModel.from_pretrained("HiTZ/stt_eu_conformer_ctc_large")

onnx_dir = Path("onnx-dir")
onnx_dir.mkdir(exist_ok=True)
model.export(str(Path(onnx_dir, "model.onnx")))

with Path(onnx_dir, "vocab.txt").open("wt") as f:
    for i, token in enumerate([*model.tokenizer.vocab, "<blk>"]):
        f.write(f"{token} {i}\n")

Licensing

The license is derived from the original model: Apache 2.0. For more details, please refer to HiTZ/stt_eu_conformer_ctc_large.

Model info

onnx nemo-conformer-ctc automatic-speech-recognition eu base_model:HiTZ/stt_eu_conformer_ctc_large base_model:quantized:HiTZ/stt_eu_conformer_ctc_large license:apache-2.0 region:us
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Created: 2026-02-16

Updated: 2026-02-17

View on Hugging Face

Files (5)

.gitattributes
README.md
config.json
model.onnx ONNX
vocab.txt

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