Download reports/mineru-table-stack/table-precision-artifacts.json from hf-dev-01/pj-ocr-jaxjs-medium: direct link, hf CLI and curl.
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https://huggingface.co/hf-dev-01/pj-ocr-jaxjs-medium/resolve/main/reports/mineru-table-stack/table-precision-artifacts.json
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hf download hf://hf-dev-01/pj-ocr-jaxjs-medium/reports/mineru-table-stack/table-precision-artifacts.json
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curl -L -o table-precision-artifacts.json https://huggingface.co/hf-dev-01/pj-ocr-jaxjs-medium/resolve/main/reports/mineru-table-stack/table-precision-artifacts.json
1.63 kB
| { | |
| "schemaVersion": 1, | |
| "kind": "mineru-table-precision-artifact-decision", | |
| "upstreamRevision": "ed6b654c018d742e65a17671e379c5e6ecc87ec9", | |
| "artifacts": { | |
| "classifier": { | |
| "role": "table.cls", | |
| "selectedPrecision": "fp32", | |
| "selectedSha256": "c84bf1d79c1c74d534b5b12adb14dd12151c42f7ae3e4be4f1042b830f80b949", | |
| "selectedSizeBytes": 6776877, | |
| "rejectedCandidate": { | |
| "precision": "mixed-fp16-batch-normalization-fp32", | |
| "sha256": "f88a7f83c93215babd976dff646bdc5b2289e474bc3e2c1e14249dcdba3f152f", | |
| "sizeBytes": 3462093, | |
| "reason": "Two synthetic borderless samples crossed the 0.9 wired-second-opinion threshold" | |
| }, | |
| "distributionStatus": "source-artifact-already-pinned" | |
| }, | |
| "unet": { | |
| "role": "table.wired", | |
| "selectedPrecision": "fp16-with-required-op-fp32", | |
| "selectedSha256": "2ad99d71a6873284ebd414d1cbdf5c4ebead299ccc484087988d5832c30803f8", | |
| "selectedSizeBytes": 4197486, | |
| "fp32Baseline": { | |
| "precision": "fp32", | |
| "sha256": "0ea48d3a17e35ef5c2e498a5e799566073234d39b1079ca21d9f4fafe73c6d20", | |
| "sizeBytes": 8335007, | |
| "reason": "Frozen oracle baseline; the selected FP16 candidate preserves both recovered structures, cell geometry, HTML, and final routing exactly" | |
| }, | |
| "distributionStatus": "candidate-ready-for-publication" | |
| } | |
| }, | |
| "reproduction": { | |
| "script": "packages/benchmark/scripts/convert_mineru_table_precision.py", | |
| "toolchain": { | |
| "python": "3.14.0", | |
| "onnx": "1.22.0", | |
| "onnxconverterCommon": "1.16.0", | |
| "numpy": "2.4.2" | |
| } | |
| } | |
| } | |