Instructions to use lerobot/being_h05_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use lerobot/being_h05_base with LeRobot:
- Notebooks
- Google Colab
- Kaggle
| { | |
| "name": "policy_preprocessor", | |
| "steps": [ | |
| { | |
| "registry_name": "render_messages_processor", | |
| "config": { | |
| "recipe": { | |
| "messages": [ | |
| { | |
| "role": "user", | |
| "content": "${task}", | |
| "stream": "low_level", | |
| "target": false, | |
| "if_present": null, | |
| "tool_calls_from": null | |
| }, | |
| { | |
| "role": "assistant", | |
| "content": "${subtask}", | |
| "stream": "low_level", | |
| "target": true, | |
| "if_present": "subtask", | |
| "tool_calls_from": null | |
| } | |
| ], | |
| "bindings": null, | |
| "blend": null, | |
| "weight": null, | |
| "route": null | |
| }, | |
| "render_training": false | |
| } | |
| }, | |
| { | |
| "registry_name": "to_batch_processor", | |
| "config": {} | |
| }, | |
| { | |
| "registry_name": "normalizer_processor", | |
| "config": { | |
| "eps": 1e-08, | |
| "features": { | |
| "observation.images.robot0_agentview_left": { | |
| "type": "VISUAL", | |
| "shape": [ | |
| 3, | |
| 224, | |
| 224 | |
| ] | |
| }, | |
| "observation.images.robot0_agentview_right": { | |
| "type": "VISUAL", | |
| "shape": [ | |
| 3, | |
| 224, | |
| 224 | |
| ] | |
| }, | |
| "observation.images.robot0_eye_in_hand": { | |
| "type": "VISUAL", | |
| "shape": [ | |
| 3, | |
| 224, | |
| 224 | |
| ] | |
| }, | |
| "observation.state.eef_position": { | |
| "type": "STATE", | |
| "shape": [ | |
| 3 | |
| ] | |
| }, | |
| "observation.state.eef_rotation": { | |
| "type": "STATE", | |
| "shape": [ | |
| 3 | |
| ] | |
| }, | |
| "observation.state.gripper_qpos": { | |
| "type": "STATE", | |
| "shape": [ | |
| 2 | |
| ] | |
| }, | |
| "observation.state.base_position": { | |
| "type": "STATE", | |
| "shape": [ | |
| 3 | |
| ] | |
| }, | |
| "observation.state.base_rotation": { | |
| "type": "STATE", | |
| "shape": [ | |
| 3 | |
| ] | |
| }, | |
| "action": { | |
| "type": "ACTION", | |
| "shape": [ | |
| 12 | |
| ] | |
| } | |
| }, | |
| "norm_map": { | |
| "VISUAL": "IDENTITY", | |
| "STATE": "IDENTITY", | |
| "ACTION": "IDENTITY" | |
| } | |
| } | |
| }, | |
| { | |
| "registry_name": "being_h05_semantic_pack", | |
| "config": { | |
| "image_keys": [ | |
| "observation.images.robot0_agentview_left", | |
| "observation.images.robot0_agentview_right", | |
| "observation.images.robot0_eye_in_hand" | |
| ], | |
| "prompt_template": "According to the instruction '{task_description}', what's the micro-step actions in the next {k} steps?", | |
| "chunk_size": 16, | |
| "state_slots": { | |
| "eef_position": [ | |
| 0, | |
| 3 | |
| ], | |
| "eef_rotation": [ | |
| 3, | |
| 6 | |
| ], | |
| "gripper_qpos": [ | |
| 44, | |
| 46 | |
| ], | |
| "base_position": [ | |
| 70, | |
| 73 | |
| ], | |
| "base_rotation": [ | |
| 73, | |
| 76 | |
| ] | |
| }, | |
| "action_slots": { | |
| "eef_position": [ | |
| 0, | |
| 3 | |
| ], | |
| "eef_rotation": [ | |
| 3, | |
| 6 | |
| ], | |
| "gripper_position": [ | |
| 18, | |
| 19 | |
| ], | |
| "base_motion": [ | |
| 70, | |
| 74 | |
| ], | |
| "control_mode": [ | |
| 74, | |
| 75 | |
| ] | |
| } | |
| } | |
| }, | |
| { | |
| "registry_name": "being_h05_messages", | |
| "config": {} | |
| }, | |
| { | |
| "registry_name": "being_h05_tokenizer", | |
| "config": { | |
| "tokenizer_name": "BeingBeyond/Being-H05-2B", | |
| "system_message": "你是由上海人工智能实验室联合商汤科技开发的书生多模态大模型,英文名叫InternVL, 是一个有用无害的人工智能助手。", | |
| "tokenizer_revision": "bb31ffcf7d67a8d5ec82d715d5e1678581ef6374" | |
| } | |
| }, | |
| { | |
| "registry_name": "device_processor", | |
| "config": { | |
| "device": "cuda", | |
| "float_dtype": null | |
| } | |
| } | |
| ] | |
| } | |