Instructions to use schmevlin/pi05_policy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use schmevlin/pi05_policy with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Upload policy weights, train config and readme
Browse files- README.md +1 -1
- config.json +2 -2
- model.safetensors +1 -1
- train_config.json +5 -5
README.md
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@@ -5,9 +5,9 @@ license: apache-2.0
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model_name: pi05
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pipeline_tag: robotics
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tags:
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- robotics
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- pi05
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- lerobot
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---
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# Model Card for pi05
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model_name: pi05
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pipeline_tag: robotics
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tags:
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- lerobot
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- robotics
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- pi05
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---
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# Model Card for pi05
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config.json
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"gradient_checkpointing": true,
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"compile_model": false,
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"compile_mode": "max-autotune",
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"freeze_vision_encoder":
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"train_expert_only":
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"optimizer_lr": 2.5e-05,
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"optimizer_betas": [
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0.9,
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"gradient_checkpointing": true,
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"compile_model": false,
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"compile_mode": "max-autotune",
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"freeze_vision_encoder": false,
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"train_expert_only": false,
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"optimizer_lr": 2.5e-05,
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"optimizer_betas": [
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0.9,
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 7473096344
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version https://git-lfs.github.com/spec/v1
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oid sha256:245ec21200b9a9a9fe57af296496d7b4d31024678ed480bb12e0d57905155581
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size 7473096344
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train_config.json
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"gradient_checkpointing": true,
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"compile_model": false,
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"compile_mode": "max-autotune",
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-
"freeze_vision_encoder":
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"train_expert_only":
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"optimizer_lr": 2.5e-05,
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"optimizer_betas": [
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0.9,
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"scheduler_decay_steps": 30000,
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"scheduler_decay_lr": 2.5e-06
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},
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"output_dir": "outputs/
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"job_name": "
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"resume": false,
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"seed": 1000,
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"num_workers": 4,
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"project": "lerobot",
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"entity": null,
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"notes": null,
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"run_id": "
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"mode": null
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},
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"peft": null,
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"gradient_checkpointing": true,
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"compile_model": false,
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"compile_mode": "max-autotune",
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"freeze_vision_encoder": false,
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"train_expert_only": false,
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"optimizer_lr": 2.5e-05,
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"optimizer_betas": [
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0.9,
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"scheduler_decay_steps": 30000,
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"scheduler_decay_lr": 2.5e-06
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},
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"output_dir": "outputs/pi05_training_full",
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"job_name": "pi05_training_full",
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"resume": false,
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"seed": 1000,
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"num_workers": 4,
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"project": "lerobot",
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"entity": null,
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"notes": null,
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"run_id": "0tno3f7m",
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"mode": null
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},
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"peft": null,
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