Automatic Speech Recognition
ONNX
Transformers.js
onnxruntime
qwen3_asr
onnxruntime-web
asr
speech-recognition
robust-asr
quantized
int4
int8
matmulnbits
gptq
on-device
browser
web
qwen3
qwen3-asr
mega-asr
Instructions to use Reza2kn/mega-asr-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Reza2kn/mega-asr-onnx with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('automatic-speech-recognition', 'Reza2kn/mega-asr-onnx');
Download examples/obstructed.wav from Reza2kn/mega-asr-onnx: direct link, hf CLI and curl.
- Browser
- Download file 422 kB
-
https://huggingface.co/Reza2kn/mega-asr-onnx/resolve/main/examples/obstructed.wav
- Command line
-
hf download hf://Reza2kn/mega-asr-onnx/examples/obstructed.wav
-
curl -L -o obstructed.wav https://huggingface.co/Reza2kn/mega-asr-onnx/resolve/main/examples/obstructed.wav
422 kB
- Xet hash:
- e53e46137c52c840f2de91d291d3503ee92a9b9b28c3146a308c51da372c3250
- Size of remote file:
- 422 kB
- SHA256:
- 411e605c25a6a8a6b09e49f0db2ad7543854bbcd0cab4cd7157fc429f9c5b0d3
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