Instructions to use andrewzhang505/sample-factory-2-mujoco-reacher with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sample-factory
How to use andrewzhang505/sample-factory-2-mujoco-reacher with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r andrewzhang505/sample-factory-2-mujoco-reacher -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e64c9cb0ae9608def8321a688cd6cce9ee837ee1dbfc02dbe9c82eb7a44abef5
- Size of remote file:
- 72.3 kB
- SHA256:
- f99ae807d9bda4a67040b7bb3fc702d1f6599fa0c4e5133adffc8b4f38dcb4af
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