ONNX Model Zoo

AdonaiHS/SoccerTwos7

By AdonaiHS · ↓ 0 · ♥ 0 · Updated 2023-04-19

What's in this repo

This page lists the files in AdonaiHS/SoccerTwos7, including SoccerTwos.onnx, SoccerTwos-0.onnx, SoccerTwos-51090.onnx.

  • 3 ONNX models (.onnx files)
  • 14 files, including 3 .onnx, 3 .pt, 3 .json, 1 .md, 1 .0, 1 .yaml
  • Last updated 2023-04-19

ONNX files

File Size Download
SoccerTwos.onnx — Download
SoccerTwos/SoccerTwos-0.onnx — Download
SoccerTwos/SoccerTwos-51090.onnx — Download

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-SoccerTwos
  library_name: ml-agents

poca Agent playing SoccerTwos

This is a trained model of a poca agent playing SoccerTwos 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:.

  1. Go to https://huggingface.co/spaces/unity/ML-Agents-SoccerTwos
  2. Step 1: Write your model_id: AdonaiHS/SoccerTwos7
  3. Step 2: Select your .nn /.onnx file
  4. Click on Watch the agent play 👀

Model info

ml-agents tensorboard onnx unity-ml-agents deep-reinforcement-learning reinforcement-learning ML-Agents-SoccerTwos region:us
↓ 0 ♥ 0

Created: 2023-04-19

Updated: 2023-04-19

View on Hugging Face

Files (14)

.gitattributes
README.md
SoccerTwos.onnx ONNX
SoccerTwos/SoccerTwos-0.onnx ONNX
SoccerTwos/SoccerTwos-0.pt
SoccerTwos/SoccerTwos-51090.onnx ONNX
SoccerTwos/SoccerTwos-51090.pt
SoccerTwos/checkpoint.pt
SoccerTwos/events.out.tfevents.1681934998.df033804922d.4305.0
config.json
configuration.yaml
run_logs/Player-0.log
run_logs/timers.json
run_logs/training_status.json

Related models