Instructions to use JonathanSum/TEST2ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JonathanSum/TEST2ppo-LunarLander-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JonathanSum/TEST2ppo-LunarLander-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download ppo-LunarLander-v2-model.zip from JonathanSum/TEST2ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 144 kB
-
https://huggingface.co/JonathanSum/TEST2ppo-LunarLander-v2/resolve/main/ppo-LunarLander-v2-model.zip
- Command line
-
hf download hf://JonathanSum/TEST2ppo-LunarLander-v2/ppo-LunarLander-v2-model.zip
-
curl -L -o ppo-LunarLander-v2-model.zip https://huggingface.co/JonathanSum/TEST2ppo-LunarLander-v2/resolve/main/ppo-LunarLander-v2-model.zip
144 kB
- Xet hash:
- 7a9f1f224bff31452387ab1ab1e58d450cd0880fa9688e01f2163c64ea4e38dd
- Size of remote file:
- 144 kB
- SHA256:
- 054c3c0de1e249e97d1a0bda17d089bc7b2dd9777d7a4bc2657724112065a76a
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