Reinforcement Learning
Transformers
TensorBoard
LunarLander-v2
ppo
deep-reinforcement-learning
custom-implementation
deep-rl-course
Eval Results (legacy)
Instructions to use rishipatel92/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rishipatel92/ppo-LunarLander-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rishipatel92/ppo-LunarLander-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download ppo-LunarLander-v2.zip from rishipatel92/ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 147 kB
-
https://huggingface.co/rishipatel92/ppo-LunarLander-v2/resolve/main/ppo-LunarLander-v2.zip
- Command line
-
hf download hf://rishipatel92/ppo-LunarLander-v2/ppo-LunarLander-v2.zip
-
curl -L -o ppo-LunarLander-v2.zip https://huggingface.co/rishipatel92/ppo-LunarLander-v2/resolve/main/ppo-LunarLander-v2.zip
147 kB
- Xet hash:
- f2eb0b5e83d65cca9fe61d538ab3d57096b483c60a033548e0d31ab49d878e2d
- Size of remote file:
- 147 kB
- SHA256:
- 4dd5f131e81e72cd65191b1db6f7d24aa6c6a1539400705ef24e9964a75f4343
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