kostasang/whisper-large-v3-turbo-onnx-base
By kostasang · ↓ 0 · ♥ 0 · Updated 2026-02-05
What's in this repo
This page lists the files in kostasang/whisper-large-v3-turbo-onnx-base, including decoder_model.onnx, decoder_with_past_model.onnx, encoder_model.onnx.
- 3 ONNX models (.onnx files)
- 16 files, including 9 .json, 3 .onnx, 1 .md, 1 .onnx_data, 1 .txt
- Last updated 2026-02-05
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
whisper-large-v3-turbo-onnx-base
This is a Base ONNX (FP32) version of openai/whisper-large-v3-turbo.
Model Details
- Base Model: openai/whisper-large-v3-turbo
- Format: ONNX (BASE)
- Architecture: arm64
Size Comparison
| Version | Size |
|---|---|
| Base ONNX (FP32) | 4198.51 MB ← |
| FP16 ONNX | 2099.54 MB |
| INT8 Quantized ONNX | 1459.58 MB |
| Compression | 1.00x |
Usage
from optimum.onnxruntime import ORTModelForSpeechSeq2Seq
from transformers import AutoProcessor
model = ORTModelForSpeechSeq2Seq.from_pretrained("kostasang/whisper-large-v3-turbo-onnx-base")
processor = AutoProcessor.from_pretrained("kostasang/whisper-large-v3-turbo-onnx-base")
Model info
optimum
optimum
onnx
whisper
speech-recognition
fp32
base_model:openai/whisper-large-v3-turbo
base_model:quantized:openai/whisper-large-v3-turbo
region:us
↓ 0
♥ 0
Created: 2026-02-05
Updated: 2026-02-05
View on Hugging FaceFiles (16)
.gitattributes
README.md
added_tokens.json
config.json
decoder_model.onnx
ONNX
decoder_with_past_model.onnx
ONNX
encoder_model.onnx
ONNX
encoder_model.onnx_data
generation_config.json
merges.txt
normalizer.json
preprocessor_config.json
special_tokens_map.json
tokenizer.json
tokenizer_config.json
vocab.json
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