Instructions to use WhissleAI/STT-zh-mandarin-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use WhissleAI/STT-zh-mandarin-ONNX with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("WhissleAI/STT-zh-mandarin-ONNX") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Access Whissle STT Mandarin on Hugging Face
This model is licensed for inference only — no training, fine-tuning, distillation, or reverse engineering permitted. Accept the license to access. Automatic approval.
By clicking "Agree", you accept the Whissle Inference-Only License Agreement. See the LICENSE file for full terms. Key restrictions: INFERENCE ONLY — no training, fine-tuning, distillation, model compression, or reverse engineering permitted. Free for inference use under 100M MAU. "Powered by Whissle" attribution required for redistribution.
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Whissle STT Mandarin
Mandarin Chinese speech recognition model with dual-head tag classifier for speaker demographics and dialect detection. Built on a 1024-dim Conformer-CTC encoder — the largest encoder in the Whissle STT family.
Model Details
| Architecture | Conformer-CTC (EncDecCTCModel) + dual-head tag classifier |
| Encoder | 1024-dim, Conformer layers |
| Download size | ~600 MB |
| Format | ONNX (CPU and GPU compatible) |
| Sample rate | 16 kHz mono |
| Language | Mandarin Chinese |
Tag Classifier Outputs
| Category | Classes | Labels |
|---|---|---|
| Age | 5 | <14, 14-25, 26-40, >41, NONE |
| Dialect | 4 | NORTH, SOUTH, OTHERS, NONE |
| Gender | 3 | MALE, FEMALE, NONE |
Quick Start
git clone https://github.com/WhissleAI/whissle_stt_inference.git
cd whissle_stt_inference
./setup.sh --model zh
License
Whissle Inference-Only License — inference only, no training/fine-tuning/distillation/reverse engineering. Free under 100M MAU.
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