Reinforcement Learning
Transformers
JAX
dreamer
quine
dreamerv3
neuroevolution
glass-box-ai
world-model
rssm
cascade-lattice
Instructions to use tostido/Champion-Dreamer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tostido/Champion-Dreamer with Transformers:
# Load model directly from transformers import DreamerV3 model = DreamerV3.from_pretrained("tostido/Champion-Dreamer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 610 Bytes
1facca1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | """Quick module-level test without loading brain."""
import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
import champion_gen42 as champ
print('=== MODULE LEVEL (no brain load) ===')
print(f'Quine hash: {champ.get_quine_hash()}')
print(f'Verify integrity: {champ.verify_quine_integrity()}')
print(f'Action manifest: {champ.get_action_manifest()}')
# Get brain directly
print('\n=== GET QUINE BRAIN ===')
brain = champ.get_quine_brain()
print(f'Brain type: {type(brain).__name__}')
print(f'Brain methods: {[m for m in dir(brain) if not m.startswith("_")]}')
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