Upload ChessBot Chess model
Browse files- .gitignore +125 -0
- README.md +1 -17
.gitignore
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# Python cache files
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__pycache__/
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*.py[cod]
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*$py.class
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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.hypothesis/
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.pytest_cache/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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.python-version
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# celery beat schedule file
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celerybeat-schedule
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# IDE
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.vscode/
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.idea/
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*.swp
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*.swo
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*~
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# OS
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.DS_Store
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.DS_Store?
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._*
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.Spotlight-V100
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.Trashes
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ehthumbs.db
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Thumbs.db
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README.md
CHANGED
@@ -44,23 +44,7 @@ model = model.to(device)
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# Get the best move
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move = model.get_move_from_fen_no_thinking(fen, T=0.1, device=device)
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print(f"
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# Get the best move using value
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value_move = model.get_best_move_value(fen, T=0, device=device)
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print(f"Value-based move: {value_move}")
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# Get position evaluation
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position_value = model.get_position_value(fen, device=device)
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print(f"Position value [black_win, draw, white_win]: {position_value}")
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# Get move probabilities
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probs = model.get_move_from_fen_no_thinking(fen, T=1, device=device, return_probs=True)
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top_moves = sorted(probs.items(), key=lambda x: x[1], reverse=True)[:5]
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print("Top 5 moves:")
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for move, prob in top_moves:
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print(f" {move}: {prob:.4f}")
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```
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## Requirements
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# Get the best move
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move = model.get_move_from_fen_no_thinking(fen, T=0.1, device=device)
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print(f"Predicted move: {move}")
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```
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## Requirements
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