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C-RADIOv4-H-ONNX
ZumaInnovations/C-RADIOv4-H-ONNX
C-RADIOv4-H-ONNX is a feature extraction model from ZumaInnovations. Use it when you need embeddings to search or compare text. It is set up for onnx. The card lists the license as other.
ONNX conversion of nvidia/C-RADIOv4-H for spatial patch features. This repository is not published by NVIDIA.
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Public
Updated Sep 23, 2026
Repo size
2.6 GB
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.onnx_data2.6 GB · 100%
At a glance
- Task
- Feature Extraction
- Library
- onnx
- License
- other
- Access
- Public
- Created
- Sep 23, 2026
- Updated
- Sep 23, 2026
- SHA
- 6574c962
Base models
Model card
From the Hugging Face model README
C-RADIOv4-H ONNX
ONNX conversion of nvidia/C-RADIOv4-H for spatial patch features. This repository is not published by NVIDIA.
The weights are licensed by NVIDIA Corporation under the NVIDIA Open Model License (June 14, 2024). A copy of that agreement is in nvidia-open-model-license-agreement-june-2024.pdf. See Notice.
Graph
| Files | model.onnx + model.onnx_data |
| Input | pixel_values, float32, [B, 3, H, W], RGB in [0, 1] |
| Output | last_hidden_state, float32, [B, N, 1280] |
| Patch size | 16 |
| Tokens | N = (H / 16) * (W / 16) |
| Traced at | 512x512, with dynamic height and width |
| Opset | 17 |
H and W must be multiples of 16, up to the source model's 2048 limit. C-RADIO normalizes internally, so do not apply ImageNet mean and standard deviation. The export returns spatial tokens only. Summary tokens are not in the output. ViTDet windowed attention is off.
Converted from c-radio_v4-h_half.pth.tar with NVlabs/RADIO, then cast to float32 before export.
- Task
- Feature Extraction
- Library
- onnx
- License
- other
- Created
- Sep 23, 2026
- Updated
- Sep 23, 2026