Instructions to use coisini9293/lingbot_pot14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coisini9293/lingbot_pot14 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("coisini9293/lingbot_pot14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add configs/robot_pot14.yaml
Browse files- configs/robot_pot14.yaml +39 -0
configs/robot_pot14.yaml
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# pot14 自采双臂台架 — 单活动臂 7 维(自动映射左或右)
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# 与 data/processed/pot14_right_arm 配套
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# 相机: 拼接画面裁剪后的 top / left / right
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states:
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- observation.state.arm.position:
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origin_keys:
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- observation.state:
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start: 0
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end: 6
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- observation.state.effector.position:
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origin_keys:
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- observation.state:
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start: 6
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end: 7
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actions:
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- action.arm.position:
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origin_keys:
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- action:
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start: 0
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end: 6
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subtract_state: True
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- action.effector.position:
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origin_keys:
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- action:
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start: 6
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end: 7
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subtract_state: False
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images:
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- observation.images.camera_top:
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origin_keys: observation.images.top
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- observation.images.camera_wrist_left:
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origin_keys: observation.images.left
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- observation.images.camera_wrist_right:
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origin_keys: observation.images.right
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