Instructions to use mioti-mic/gym_xarm_01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use mioti-mic/gym_xarm_01 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="mioti-mic/gym_xarm_01", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
SB3 SAC on gym_xarm/XarmLift-v0
This repository contains a Stable-Baselines3 SAC policy trained on gym_xarm/XarmLift-v0.
Files
best_model.zip/final_model.zip: SB3 model checkpoint (policy + critics).vecnormalize.pkl: VecNormalize statistics (required for correct inference).metadata.txt: simple metadata about the run.
Inference (important)
You must load the VecNormalize stats before running inference.
Example (pseudo):
- Create env (same wrappers).
- Load VecNormalize with
VecNormalize.load(...). - Load model with
SAC.load(...)and set env.
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