Reinforcement Learning
stable-baselines3
PandaPickAndPlace-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use PhoenixA/a2c-PandaPickAndPlace-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use PhoenixA/a2c-PandaPickAndPlace-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="PhoenixA/a2c-PandaPickAndPlace-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from PhoenixA/a2c-PandaPickAndPlace-v3: direct link, hf CLI and curl.
- Browser
- Download file 3.04 kB
-
https://huggingface.co/PhoenixA/a2c-PandaPickAndPlace-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://PhoenixA/a2c-PandaPickAndPlace-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/PhoenixA/a2c-PandaPickAndPlace-v3/resolve/main/vec_normalize.pkl
3.04 kB
- Xet hash:
- fb4cce2f2a461faf53f0362dfb50703b5c215fdb8e3ef75e1d51a69d4cbceddc
- Size of remote file:
- 3.04 kB
- SHA256:
- 00a6544848384c6d262c5ad5bff6f9810b8a4e9c9880a0e1ca46b0780030884d
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