Instructions to use aiacontext/marginplay with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use aiacontext/marginplay with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir marginplay aiacontext/marginplay
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
docs: add marginplay.app website link
Browse files
README.md
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# Margin Play — Trained Checkpoints
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Pretrained MADDPG weights for the [Margin Play](https://github.com/aiacontext/marginplay) multi-agent reinforcement learning simulation of oil exploration in the Brazilian Equatorial Margin.
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## Contents
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# Margin Play — Trained Checkpoints
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**Website:** [marginplay.app](https://www.marginplay.app/) · **Code:** [github.com/aiacontext/marginplay](https://github.com/aiacontext/marginplay)
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Pretrained MADDPG weights for the [Margin Play](https://github.com/aiacontext/marginplay) multi-agent reinforcement learning simulation of oil exploration in the Brazilian Equatorial Margin.
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## Contents
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