docs: improve model download and runtime links
Browse files
README.md
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| Candidate localization | CenterNet + ConvNeXt-Tiny, v10 | `object_best_model_centernet_conv_tiny_ema_v10.pth` | 114,449,795 bytes | `bcad4e710f5f1ccd3c8609d35a8d3fbfc36abd1d85bfefd035e945a573fb0629` |
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| Candidate verification | ConvNeXt-Small binary classifier | `binary_best_model_conv_small_ema.pth` | 197,949,537 bytes | `2055745aab76ddc16074516aa7b9aafdfaedf16df37ce8924389573eab27ffd8` |
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Download
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```bash
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curl -L \
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```
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The injection runtime uses the same filenames under
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`injection_experiment/search_runtime/models/`.
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Model architecture definitions, preprocessing, command-line examples, and
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deployment notes are maintained in the
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## Legacy checkpoints
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| Candidate localization | CenterNet + ConvNeXt-Tiny, v10 | `object_best_model_centernet_conv_tiny_ema_v10.pth` | 114,449,795 bytes | `bcad4e710f5f1ccd3c8609d35a8d3fbfc36abd1d85bfefd035e945a573fb0629` |
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| Candidate verification | ConvNeXt-Small binary classifier | `binary_best_model_conv_small_ema.pth` | 197,949,537 bytes | `2055745aab76ddc16074516aa7b9aafdfaedf16df37ce8924389573eab27ffd8` |
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Download both files with the Hugging Face CLI:
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```bash
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mkdir -p runcode/models
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hf download TorchLight/DRAFTS \
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object_best_model_centernet_conv_tiny_ema_v10.pth \
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binary_best_model_conv_small_ema.pth \
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--local-dir runcode/models
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```
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Or use direct HTTP downloads:
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```bash
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curl -L \
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```
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The injection runtime uses the same filenames under
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`injection_experiment/search_runtime/models/`. Compare the downloaded files
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with the SHA-256 values above before running a long search.
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Model architecture definitions, preprocessing, command-line examples, and
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deployment notes are maintained in the DRAFTS repository:
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- [Observation-search runtime](https://github.com/SukiYume/DRAFTS/tree/main/runcode#readme)
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- [CenterNet detector training](https://github.com/SukiYume/DRAFTS/tree/main/object_detection#readme)
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- [Binary-classifier training](https://github.com/SukiYume/DRAFTS/tree/main/binary_classification#readme)
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- [Injection experiment](https://github.com/SukiYume/DRAFTS/tree/main/injection_experiment#readme)
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## Legacy checkpoints
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