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OpenVoiceOS/qwen3-asr-0.6b-onnx
qwen3-asr-0.6b-onnx is a automatic speech recognition model from OpenVoiceOS. Use it when you need speech turned into text. The card lists the license as apache-2.0.
ONNX export of Qwen/Qwen3-ASR-0.6B-hf for onnx-asr with the speech-llm model type (requires the speech-llm model-family patches, see TigreGotico/onnx-asr PR 3).
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From the Hugging Face model README
ONNX export of Qwen/Qwen3-ASR-0.6B-hf for
onnx-asr with the speech-llm model type (requires the
speech-llm model-family patches, see
TigreGotico/onnx-asr PR #3).
Three-graph layout: encoder.onnx (audio -> projected audio embeddings), embed_tokens.onnx,
and a merged prefill+decode decoder.onnx with a 28-layer KV cache. Prompt token ids are baked
into config.json, so no tokenizer is needed at runtime. fp32 output matches native
transformers character-for-character on FLEURS test clips (en, pt). fp32 and int8 graphs included.
import onnx_asr
model = onnx_asr.load_model("speech-llm", "path/to/this/repo") # or quantization="int8"
print(model.recognize("audio_16khz.wav"))
License: Apache-2.0 (inherited from the source model).