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  ],
  "public_base_models": [
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      "note": "base for speechbrain emotion_diarization; fetch at bootstrap if needed"
    },
    {
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    },
    {
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      "note": "TextProcessor embeddings; use scripts/save_sentence_transformer_model.py"
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    {
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      "source": "url",
      "note": "only .tmp partial existed in old repo; must be re-fetched"
    },
    {
      "id": "places365 resnet18/50",
      "source": "url",
      "note": "scene_classification weights + categories"
    },
    {
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      "note": "spec slowfast_r50; repo currently ships VideoMAE instead"
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      "semantic_bases": 409,
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  "sources": {
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    "triton": "Ilialebedev/trendflow_artifact_0_1 (DataProcessor/triton/models, ~5.16GB ONNX; private -> needs HF_TOKEN)"
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}