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');
Static INT8 audio encoder (Entropy calibration, MatMul-only, QOperator format — browser-compatible)
Browse files
onnx/audio_encoder_int8_static.onnx
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2297248ea63e68711d9c4b341dc7ba8a635d6e4abcb65da34eee3b9592566382
|
| 3 |
+
size 332463667
|