Clean baseline model config
Browse files- config.json +1 -9
config.json
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@@ -1,7 +1,5 @@
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{
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"model_type": "xperience10m_task_baseline_suite",
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"library_name": "pytorch",
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"pipeline_tag": "robotics",
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"project": "Ropedia Xperience-10M Task Suite",
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"description": "Minimal NumPy baselines and compact PyTorch MLP checkpoints for single-episode Xperience-10M embodied-AI task probes.",
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"source_datasets": [
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@@ -14,11 +12,5 @@
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"neural_mlp_baselines": "artifacts/episode_task_suite/neural_mlp/**/model.pt",
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"metrics": "artifacts/**/metrics.json",
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"predictions": "artifacts/**/*predictions*"
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}
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"download_entrypoint": "config.json",
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"notes": [
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"This repository is a baseline/artifact model repository, not a single Transformers checkpoint.",
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"Use huggingface_hub snapshot_download or hf_hub_download to retrieve the artifacts needed for a task.",
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"The root config.json provides a canonical Hugging Face Hub query file for model download accounting."
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]
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}
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{
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"model_type": "xperience10m_task_baseline_suite",
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"project": "Ropedia Xperience-10M Task Suite",
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"description": "Minimal NumPy baselines and compact PyTorch MLP checkpoints for single-episode Xperience-10M embodied-AI task probes.",
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"source_datasets": [
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"neural_mlp_baselines": "artifacts/episode_task_suite/neural_mlp/**/model.pt",
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"metrics": "artifacts/**/metrics.json",
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"predictions": "artifacts/**/*predictions*"
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}
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}
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