Amiko/ppo-Huggy
By Amiko · ↓ 0 · ♥ 0 · Updated 2023-02-05
What's in this repo
This page lists the files in Amiko/ppo-Huggy, including Huggy.onnx, Huggy-0.onnx, Huggy-1199975.onnx and more.
- 13 ONNX models (.onnx files)
- 36 files, including 13 .onnx, 13 .pt, 3 .0, 3 .json, 1 .md, 1 .yaml
- Last updated 2023-02-05
ONNX files
| File | Size | Download |
|---|---|---|
| Huggy.onnx | — | Download |
| Huggy/Huggy-0.onnx | — | Download |
| Huggy/Huggy-1199975.onnx | — | Download |
| Huggy/Huggy-1399423.onnx | — | Download |
| Huggy/Huggy-1599863.onnx | — | Download |
| Huggy/Huggy-1799443.onnx | — | Download |
| Huggy/Huggy-199957.onnx | — | Download |
| Huggy/Huggy-1999944.onnx | — | Download |
| Huggy/Huggy-2000003.onnx | — | Download |
| Huggy/Huggy-399844.onnx | — | Download |
Showing 10 of 13 .onnx files — see the full file list on the right.
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Huggy
library_name: ml-agents
ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy using the Unity ML-Agents Library.
Usage (with ML-Agents)
The Documentation: https://github.com/huggingface/ml-agents#get-started We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
Resume the training
mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
Watch your Agent play
You can watch your agent playing directly in your browser:.
- Go to https://huggingface.co/spaces/unity/ML-Agents-Huggy
- Step 1: Write your model_id: Amiko/ppo-Huggy
- Step 2: Select your .nn /.onnx file
- Click on Watch the agent play 👀
Model info
Created: 2023-02-05
Updated: 2023-02-05
View on Hugging Face