Instructions to use maximellerbach/act_aloha_transfer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use maximellerbach/act_aloha_transfer with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Upload policy weights, train config and readme
Browse files- README.md +2 -2
- config.json +1 -1
- model.safetensors +2 -2
- train_config.json +3 -3
README.md
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@@ -5,9 +5,9 @@ license: apache-2.0
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model_name: wam
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pipeline_tag: robotics
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tags:
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- wam
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- lerobot
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- robotics
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---
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# Model Card for wam
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model_name: wam
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pipeline_tag: robotics
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tags:
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- robotics
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- lerobot
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- wam
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---
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# Model Card for wam
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config.json
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"tags": null,
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"license": null,
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"pretrained_path": null,
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"n_obs_frames":
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"obs_frame_skip": 5,
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"pred_frame_skip": 50,
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"n_pred_frames": 1,
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"tags": null,
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"license": null,
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"pretrained_path": null,
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"n_obs_frames": 1,
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"obs_frame_skip": 5,
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"pred_frame_skip": 50,
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"n_pred_frames": 1,
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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
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version https://git-lfs.github.com/spec/v1
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oid sha256:2def9b0854aecb36deab786b4fb4ed8359b0878566c60d456a112556ff31e226
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size 300706096
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train_config.json
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"tags": null,
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"license": null,
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"pretrained_path": null,
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"n_obs_frames":
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"obs_frame_skip": 5,
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"pred_frame_skip": 50,
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"n_pred_frames": 1,
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"scheduler_warmup_steps": 500,
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"scheduler_decay_steps": 5000
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},
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"output_dir": "outputs/train/
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"job_name": "aloha_wam",
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"resume": false,
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"seed": 1000,
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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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"add_tags": true
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},
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"tags": null,
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"license": null,
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"pretrained_path": null,
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"n_obs_frames": 1,
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"obs_frame_skip": 5,
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"pred_frame_skip": 50,
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"n_pred_frames": 1,
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"scheduler_warmup_steps": 500,
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"scheduler_decay_steps": 5000
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},
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"output_dir": "outputs/train/wam_aloha_single_obs",
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"job_name": "aloha_wam",
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"resume": false,
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"seed": 1000,
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"project": "lerobot",
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"entity": null,
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"notes": null,
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"run_id": "9zvzpxl7",
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"mode": null,
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"add_tags": true
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},
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