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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JonathanSum/TEST2ppo-LunarLander-v2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a9f1f224bff31452387ab1ab1e58d450cd0880fa9688e01f2163c64ea4e38dd
- Size of remote file:
- 144 kB
- SHA256:
- 054c3c0de1e249e97d1a0bda17d089bc7b2dd9777d7a4bc2657724112065a76a
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