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prithvi-eo-tiny-onnx
nthh/prithvi-eo-tiny-onnx
prithvi-eo-tiny-onnx is a machine learning model from nthh. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Encoder-only ONNX export of Prithvi-EO-2.0-tiny-TL for browser inference via ONNX Runtime WebAssembly.
Access
Public
Updated Mar 28, 2026
Repo size
22.8 MB
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.onnx22.8 MB · 100%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Mar 28, 2026
- Updated
- Mar 28, 2026
- SHA
- 2ce8218f
Base models
Model card
From the Hugging Face model README
Prithvi-EO-2.0-tiny — ONNX Encoder
Encoder-only ONNX export of Prithvi-EO-2.0-tiny-TL for browser inference via ONNX Runtime WebAssembly.
Usage
- Input:
(batch, 6, 1, 224, 224)— 6-band HLS patch, single timestep - Output:
(batch, 192)— CLS token embedding - Normalization: mean-std per channel (see below)
| Band | Mean | Std |
|---|---|---|
| B02 | 1087 | 2248 |
| B03 | 1342 | 2179 |
| B04 | 1433 | 2178 |
| B05 | 2734 | 1850 |
| B06 | 1958 | 1242 |
| B07 | 1363 | 1049 |
Export
Generated with scripts/export_onnx.py from the folia project.
Wraps the ViT-MAE encoder, strips the decoder, returns CLS token only.
License
Apache-2.0 (same as base model).
- License
- apache-2.0
- Created
- Mar 28, 2026
- Updated
- Mar 28, 2026