Reinforcement Learning
Transformers
TensorBoard
LunarLander-v2
ppo
deep-reinforcement-learning
custom-implementation
deep-rl-course
Eval Results (legacy)
Instructions to use gmojko/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gmojko/ppo-LunarLander-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gmojko/ppo-LunarLander-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download ppo-LunarLander-v2-2.zip from gmojko/ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 147 kB
-
https://huggingface.co/gmojko/ppo-LunarLander-v2/resolve/main/ppo-LunarLander-v2-2.zip
- Command line
-
hf download hf://gmojko/ppo-LunarLander-v2/ppo-LunarLander-v2-2.zip
-
curl -L -o ppo-LunarLander-v2-2.zip https://huggingface.co/gmojko/ppo-LunarLander-v2/resolve/main/ppo-LunarLander-v2-2.zip
147 kB
- Xet hash:
- 0822d1f3b2a2276cb7ed109ad81cb5110ae668406b5b5607ac287a8cfd9d429a
- Size of remote file:
- 147 kB
- SHA256:
- 24ae1efd5d9e46e87609cac157e51bc40bd07ad76ee1998e31e2ce6214bf519f
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