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');
Add tokenizer.json (transformers.js fast tokenizer)
Browse files- .gitattributes +1 -0
- tokenizer.json +3 -0
.gitattributes
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onnx/audio_encoder_int4.onnx.data filter=lfs diff=lfs merge=lfs -text
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onnx/decoder_prefill_int4.onnx.data filter=lfs diff=lfs merge=lfs -text
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onnx/decoder_step_int4.onnx.data filter=lfs diff=lfs merge=lfs -text
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onnx/audio_encoder_int4.onnx.data filter=lfs diff=lfs merge=lfs -text
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onnx/decoder_prefill_int4.onnx.data filter=lfs diff=lfs merge=lfs -text
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onnx/decoder_step_int4.onnx.data filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:fe1fad59be22a41ee293363fcf95fdedbc7c93f3b49270b1d2e18bd1399a7a05
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size 11429653
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