Instructions to use tungdao1998/ppo-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tungdao1998/ppo-Pyramids with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tungdao1998/ppo-Pyramids", dtype="auto") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids using the Unity ML-Agents Library.
Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
A short tutorial where you teach Huggy the Dog ๐ถ to fetch the stick and then play with him directly in your browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction A longer tutorial to understand how works ML-Agents: https://huggingface.co/learn/deep-rl-course/unit5/introduction
Resume the training
mlagents-learn <your_configuration_file_path.yaml> --run-id= --resume
Watch your Agent play
You can watch your agent playing directly in your browser
If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity Step 1: Find your model_id: tungdao1998/ppo-ML-Agents-Pyramids Step 2: Select your .nn /.onnx file Click on Watch the agent play ๐
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