mirekphd/whisper-large-v3-onnx-fp16
By mirekphd · ↓ 2 · ♥ 0 · Updated 2025-07-19
What's in this repo
This page lists the files in mirekphd/whisper-large-v3-onnx-fp16, including decoder_model.onnx, decoder_with_past_model.onnx, encoder_model.onnx.
- 3 ONNX models (.onnx files)
- 17 files, including 8 .json, 3 .onnx, 3 .onnx_data, 1 .md, 1 .txt
- Last updated 2025-07-19
ONNX files
| File | Size | Download |
|---|---|---|
| decoder_model.onnx | — | Download |
| decoder_with_past_model.onnx | — | Download |
| encoder_model.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
license: mit tags:
- automatic-speech-recognition
- whisper
- onnx
- quantized
ONNX version of whisper-large-v3-onnx-fp16
This repository contains the ONNX version of the openai/whisper-large-v3 model.
Model Details
The original model can be found here: openai/whisper-large-v3
This is the unquantized FP16 version of the model, offering the highest precision.
Usage
The model can be used with optimum.onnxruntime.ORTModelForSpeechSeq2Seq.
from optimum.onnxruntime import ORTModelForSpeechSeq2Seq
from transformers import WhisperProcessor
model_name = "mirekphd/whisper-large-v3-onnx-fp16"
processor = WhisperProcessor.from_pretrained(model_name)
model = ORTModelForSpeechSeq2Seq.from_pretrained(model_name)
# ... add your inference code here ...
Model info
Created: 2025-07-19
Updated: 2025-07-19
View on Hugging Face