Reinforcement Learning
stable-baselines3
PandaPickAndPlace-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Josrf/a2c-PandaPickAndPlace-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Josrf/a2c-PandaPickAndPlace-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Josrf/a2c-PandaPickAndPlace-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from Josrf/a2c-PandaPickAndPlace-v3: direct link, hf CLI and curl.
- Browser
- Download file 3.01 kB
-
https://huggingface.co/Josrf/a2c-PandaPickAndPlace-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://Josrf/a2c-PandaPickAndPlace-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/Josrf/a2c-PandaPickAndPlace-v3/resolve/main/vec_normalize.pkl
3.01 kB
- Xet hash:
- 3e07268f9bc1531d50a5d62465460d63c64fd8c32c3ba7455183da1a2d5e1ec6
- Size of remote file:
- 3.01 kB
- SHA256:
- 16058f65febea830f12c8f6f42be48d51a836eef316fa107fca8ecdcc461c6b4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.