Automatic Speech Recognition
ONNX
Transformers.js
onnxruntime
onnxruntime-web
asr
speech-recognition
robust-asr
quantized
int4
int8
matmulnbits
gptq
on-device
browser
web
qwen3
qwen3-asr
mega-asr
Instructions to use VidraAI/mega-asr-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use VidraAI/mega-asr-onnx with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('automatic-speech-recognition', 'VidraAI/mega-asr-onnx');
- Xet hash:
- bb3fc8e382c99cbc9234e4453927134b3135f2ab229d5404374be1029c5cc673
- Size of remote file:
- 622 MB
- SHA256:
- 42a1b34500c54270bb1c52fd824781c623cdeb7de8d867f40c72bf50b79823c0
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