Image-to-Text
PyTorch
Safetensors
PEFT
English
remote-sensing
satellite-imagery
earth-observation
change-detection
visual-grounding
image-captioning
visual-question-answering
optical-sar-fusion
sar
multimodal
lora
Instructions to use thundercode/SatQuery with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thundercode/SatQuery with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
release: add HF_RELEASE_VERIFICATION.md
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HF_RELEASE_VERIFICATION.md
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| Repository | `thundercode/SatQuery` (model repo) |
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| Visibility | **public** (`private: false`) |
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| HEAD after release | **`
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| `lastModified` | `2026-09-
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| Files on Hub | **
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## 2. Pre-flight inspection (what was already there, and what was done with it)
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| Repository | `thundercode/SatQuery` (model repo) |
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| Visibility | **public** (`private: false`) |
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| HEAD after release | **`bf2779e18fcaa7476b93a48a978f08c108dfdfb7`** |
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| `lastModified` | `2026-09-25T21:46:52Z` |
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| Files on Hub | **42** (26 markdown docs + 6 trained artifacts + 4 support files + 6 tooling files) |
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| First release HEAD | `55681e0cddb91a4a5655da98a49bc025e537b657` (artifacts only) |
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## 2. Pre-flight inspection (what was already there, and what was done with it)
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