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README.md
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@@ -19,7 +19,7 @@ The encoder maps a variable-size 7 km tile of point displacement histories to a
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fixed **65-token** representation (1 tile summary + 8脳8 spatial cells, 256-d),
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trained self-supervised with masked reconstruction. It is frozen downstream.
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Code: https://github.com/risenyard/egms-qa 路
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Companion repos: [`risenyard/egms-qa-dataset`](https://huggingface.co/datasets/risenyard/egms-qa-dataset) 路
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[`risenyard/egms-qa-translator`](https://huggingface.co/risenyard/egms-qa-translator)
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fixed **65-token** representation (1 tile summary + 8脳8 spatial cells, 256-d),
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trained self-supervised with masked reconstruction. It is frozen downstream.
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Code: [`src/egms_encoder`](https://github.com/risenyard/egms-qa/tree/main/src/egms_encoder) 路
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Companion repos: [`risenyard/egms-qa-dataset`](https://huggingface.co/datasets/risenyard/egms-qa-dataset) 路
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[`risenyard/egms-qa-translator`](https://huggingface.co/risenyard/egms-qa-translator)
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