Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use gputrain/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use gputrain/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="gputrain/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download a2c-PandaReachDense-v3.zip from gputrain/a2c-PandaReachDense-v3: direct link, hf CLI and curl.
- Browser
- Download file 110 kB
-
https://huggingface.co/gputrain/a2c-PandaReachDense-v3/resolve/main/a2c-PandaReachDense-v3.zip
- Command line
-
hf download hf://gputrain/a2c-PandaReachDense-v3/a2c-PandaReachDense-v3.zip
-
curl -L -o a2c-PandaReachDense-v3.zip https://huggingface.co/gputrain/a2c-PandaReachDense-v3/resolve/main/a2c-PandaReachDense-v3.zip
110 kB
- Xet hash:
- de321101bdadf7660b1e68a0b888709bca0d35b24c352ca19cc44ceaf03bfa3b
- Size of remote file:
- 110 kB
- SHA256:
- 10714553f4b6effcab7f4aa205cdc0595674f405db6c8590af3d6e7d04ffe022
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