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license: other
license_name: aplux-model-farm
license_link: https://huggingface.co/APLUX-Agora/WeNet/blob/main/LICENSE_MODEL_FARM.pdf
pipeline_tag: automatic-speech-recognition
tags: [Agora, QNN, AIoT, Qualcomm]
---
# WeNet model resources
将中文录音识别为文字，保留完整的官方识别流程。
Board builds that [Agora](https://mega.aidlux.com) runs and measures on real Qualcomm boards. Try it online, without a board: https://mega.aidlux.com/models/wenet
| SoC · board | Precisions | Measured on Agora (default precision) |
| --- | --- | --- |
| QCS8550 · 犀牛派 X1 (Rhino Pi X1) | FP32 | RTF 0.122 |
| QCS6490 · 犀牛派 A1 (Rhino Pi A1) | FP32 | RTF 0.168 |
Task: 语音识别. Inputs: audio (audio). Outputs: text (text).
## Download
```bash
export AGORA_WORKSPACE="$HOME/my-wenet"
export AGORA_SOC='QCS8550'
hf download APLUX-Agora/WeNet \
--include "targets/$AGORA_SOC/*" --local-dir "$AGORA_WORKSPACE/resources"
```
Each `targets/<SoC>/` holds `model.json` (default precision and variant paths) and one directory per precision. Context binaries are named `model.bin`; multi-file packages are kept as published by Model Farm.
Pre- and post-processing, the runner and an exported project: open the model on Agora and choose “部署指南”, or export any workflow that uses it.
## Licence and provenance
Source model licence: see the original model's terms.
Converted, deployable resources: APLUX Model Farm License (LICENSE_MODEL_FARM.pdf). See NOTICE.md and SHA256SUMS.
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