ONNX Model Zoo

jennis0/scene-atlas-medium

By jennis0 · ↓ 0 · ♥ 0 · Updated 2026-03-15

What's in this repo

This page lists the files in jennis0/scene-atlas-medium, including clip_text_encoder.onnx, clip_vision_encoder.onnx.

  • 2 ONNX models (.onnx files)
  • 6 files, including 2 .onnx, 1 .md, 1 .json, 1 .model
  • Last updated 2026-03-15

ONNX files

File Size Download
clip_text_encoder.onnx — Download
clip_vision_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

medium (ONNX)

This is an ONNX export and quantisation of google/siglip2-base-patch16-224, not an original model.

All credit for the original model goes to its authors. This repo exists solely to host pre-exported ONNX variants for use by Scene Atlas, a tabletop RPG scene management tool.

Source Model

Quantisation

Encoder Quantisation Size
Vision fp16 177.4 MB
Text int8 290.6 MB
Total 468.0 MB

Model Parameters

Parameter Value
model_family siglip2
embedding_dim 768
image_size 224
image_mean 0.5000, 0.5000, 0.5000
image_std 0.5000, 0.5000, 0.5000
interpolation bilinear
resize_mode direct_resize
tokenizer_type sentencepiece
tokenizer_max_length 64

Usage

These models are intended for use with Scene Atlas. The repo contains clip_vision_encoder.onnx, clip_text_encoder.onnx, manifest.json, and a tokenizer/ directory — all at the repo root.

from huggingface_hub import hf_hub_download

# Download encoder files
hf_hub_download(
    repo_id="jennis0/scene-atlas-medium",
    filename="clip_vision_encoder.onnx",
)

License

Please refer to the original model card for licensing information.

Model info

onnxruntime
onnxruntime onnx scene-atlas siglip2 vision-language image-embedding text-embedding base_model:google/siglip2-base-patch16-224 base_model:quantized:google/siglip2-base-patch16-224 region:us
↓ 0 ♥ 0

Created: 2026-03-15

Updated: 2026-03-15

View on Hugging Face

Files (6)

.gitattributes
README.md
clip_text_encoder.onnx ONNX
clip_vision_encoder.onnx ONNX
manifest.json
tokenizer/spiece.model

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