Instructions to use mzimm003/DeepChessReplicationMinMax with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mzimm003/DeepChessReplicationMinMax with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mzimm003/DeepChessReplicationMinMax", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Push model using huggingface_hub.
Browse files- config.json +8 -0
config.json
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{
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"board_evaluator": null,
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"board_evaluator_config": null,
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"board_evaluator_param_dir": null,
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"iterate_depths": true,
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"max_depth": 3,
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"move_sort": "evaluation"
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}
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