Ilikepizza/marqo-fashionSigLip-onnx
By Ilikepizza · ↓ 0 · ♥ 0 · Updated 2026-01-17
What's in this repo
This page lists the files in Ilikepizza/marqo-fashionSigLip-onnx, including text_encoder.onnx.
- 1 ONNX models (.onnx files)
- 3 files, including 1 .md, 1 .onnx
- Last updated 2026-01-17
ONNX files
| File | Size | Download |
|---|---|---|
| text_encoder.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
FashionSigLIP (ONNX)
This repository contains an ONNX-converted version of the
Marqo/marqo-fashionSigLIP
model originally released by Marqo.
🔍 What this repo is
- A format-only conversion of the original model to ONNX
- Intended for fast inference, mobile / edge deployment, and ONNX Runtime–based pipelines
- No retraining or architectural changes were performed
🧠 Original Model
- Name: marqo-fashionSigLIP
- Authors: Marqo
- Original Repo: https://huggingface.co/Marqo/marqo-fashionSigLIP
- License: Apache License 2.0
🔄 Modifications
- Converted model weights from the original framework to ONNX
- (Optional) Applied graph optimizations suitable for inference
All credit for the model architecture and training belongs to the original authors.
⚠️ Disclaimer
This is not an official Marqo release. Marqo does not endorse or maintain this repository.
🚀 Usage Example (ONNX Runtime)
import onnxruntime as ort
session = ort.InferenceSession("model.onnx")
outputs = session.run(None, {
"input_ids": input_ids,
"pixel_values": pixel_values
})
Model info
Created: 2026-01-17
Updated: 2026-01-17
View on Hugging FaceFiles (3)
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