Automatic Speech Recognition
Transformers.js
ONNX
cohere_asr
audio
hf-asr-leaderboard
speech-recognition
transcription
Instructions to use onnx-community/cohere-transcribe-03-2026-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use onnx-community/cohere-transcribe-03-2026-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('automatic-speech-recognition', 'onnx-community/cohere-transcribe-03-2026-ONNX');
Add int8 dynamic quantization (encoder + merged decoder)
#2
by Masterx - opened
8-bit dynamic weight quantization (ONNX Runtime quantize_dynamic, QInt8) of the fp32 encoder and merged decoder. ~2.1 GB total. Verified: greedy decode matches fp32 on an English clip (en/en and unklang/unklang both correct). Complements the existing fp16/q4/q4f16 with an accuracy tier between q4 and fp32.