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 models/checksums.sha256
Browse files- models/checksums.sha256 +8 -0
models/checksums.sha256
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# sha256 of the six released artifacts, keyed by their path in this repository.
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# Verify with: sha256sum -c checksums.sha256
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c5ef31277b67aa01a593aec0eac503eeaccc6d674349fda20ca44c9cc6f8e9fa change/head.pt
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cfae5e43b97ca930f568dc5b8ae4f36b24e9ff717af226159802206ffd63a82a change_vqa/head.pt
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785815729a3a39fc34dc41894efaf00d8739365d970a3f830a326e68ae888dab optical_sar/head.pt
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93432f7034be91a8ffd9c1a84e3eeec00bed7832c043fe7f83d2be230284c6bb grounding/head.pt
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8527c3ed28a293e13293d48601d48e3ceafa137b9acabddaf5de31a58a509b5c router/adapter.pt
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07c76a75fa04624880ed7730590f5fdd7b145a8232e3c0af411c3c545a5adf5e vlm/adapter_model.safetensors
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