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
Download configs/robot_pot14.yaml from coisini9293/lingbot_pot14: direct link, hf CLI and curl.
- Browser
- Download file 1.01 kB
-
https://huggingface.co/coisini9293/lingbot_pot14/resolve/main/configs/robot_pot14.yaml
- Command line
-
hf download hf://coisini9293/lingbot_pot14/configs/robot_pot14.yaml
-
curl -L -o robot_pot14.yaml https://huggingface.co/coisini9293/lingbot_pot14/resolve/main/configs/robot_pot14.yaml
1.01 kB
| # pot14 自采双臂台架 — 单活动臂 7 维(自动映射左或右) | |
| # 与 data/processed/pot14_right_arm 配套 | |
| # 相机: 拼接画面裁剪后的 top / left / right | |
| states: | |
| - observation.state.arm.position: | |
| origin_keys: | |
| - observation.state: | |
| start: 0 | |
| end: 6 | |
| - observation.state.effector.position: | |
| origin_keys: | |
| - observation.state: | |
| start: 6 | |
| end: 7 | |
| actions: | |
| - action.arm.position: | |
| origin_keys: | |
| - action: | |
| start: 0 | |
| end: 6 | |
| subtract_state: True | |
| - action.effector.position: | |
| origin_keys: | |
| - action: | |
| start: 6 | |
| end: 7 | |
| subtract_state: False | |
| images: | |
| - observation.images.camera_top: | |
| origin_keys: observation.images.top | |
| - observation.images.camera_wrist_left: | |
| origin_keys: observation.images.left | |
| - observation.images.camera_wrist_right: | |
| origin_keys: observation.images.right | |