Automatic Speech Recognition
ONNX
Transformers.js
onnxruntime
qwen3_asr
text-generation
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');
- Xet hash:
- 9937972b059092d416e52ce426025e6b56280ab20a46393f3e5ffb7046f187e8
- Size of remote file:
- 768 kB
- SHA256:
- 92f4f3df7fe4b9c9c0cb121fd05dee34beeeb5c37ba40f1580b7fd285d61304f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.