Robotics
Transformers
Safetensors
English
Chinese
vision-language-action
vla
go-1
agibot-world
imitation-learning
dual-arm
suction
Instructions to use EmbodyX/go1_sft_go2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EmbodyX/go1_sft_go2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("EmbodyX/go1_sft_go2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| #!/usr/bin/env python3 | |
| """Portable path config for the G2 / GO-1 deploy scripts. | |
| 所有"宿主机/机器人相关"的路径都从环境变量读取,默认值按本仓库的目录结构推导, | |
| 因此把仓库 checkout 到任何位置都能直接用,无需改代码。可用环境变量覆盖: | |
| GO1_CKPT 模型 checkpoint 目录 (默认: <repo>/checkpoint_22000) | |
| GO1_WORKSPACE GDK / go2_data_recorder 安装位置 (默认: /home/agi/workspace) | |
| GO1_AGIBOT_WORLD AgiBot-World 模型代码 (默认: /data/agi/AgiBot-World) | |
| GO1_POSE_FILE 保存的初始位姿 .npy (默认: <deploy>/saved_init_pose.npy) | |
| GO1_OUT_DIR grab_*.jpg 等输出目录 (默认: <deploy>) | |
| `import go1_env` 时会把 GO1_AGIBOT_WORLD 和 GO1_WORKSPACE 插入 sys.path | |
| (在 `import agibot_gdk` / 模型模块之前需要)。 | |
| """ | |
| import os | |
| import sys | |
| _HERE = os.path.dirname(os.path.abspath(__file__)) # .../deploy | |
| _REPO = os.path.dirname(_HERE) # 仓库根 (checkpoint_22000 的父目录) | |
| CKPT = os.environ.get("GO1_CKPT", os.path.join(_REPO, "checkpoint_22000")) | |
| STATS = os.path.join(CKPT, "dataset_stats.json") | |
| WORKSPACE = os.environ.get("GO1_WORKSPACE", "/home/agi/workspace") | |
| AGIBOT_WORLD = os.environ.get("GO1_AGIBOT_WORLD", "/data/agi/AgiBot-World") | |
| POSE_FILE = os.environ.get("GO1_POSE_FILE", os.path.join(_HERE, "saved_init_pose.npy")) | |
| OUT_DIR = os.environ.get("GO1_OUT_DIR", _HERE) | |
| for _p in (AGIBOT_WORLD, WORKSPACE): | |
| if _p and _p not in sys.path: | |
| sys.path.insert(0, _p) | |