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
Download config.json from mzimm003/DeepChessReplicationMinMax: direct link, hf CLI and curl.
- Browser
- Download file 173 Bytes
-
https://huggingface.co/mzimm003/DeepChessReplicationMinMax/resolve/main/config.json
- Command line
-
hf download hf://mzimm003/DeepChessReplicationMinMax/config.json
-
curl -L -o config.json https://huggingface.co/mzimm003/DeepChessReplicationMinMax/resolve/main/config.json
173 Bytes
| { | |
| "board_evaluator": null, | |
| "board_evaluator_config": null, | |
| "board_evaluator_param_dir": null, | |
| "iterate_depths": true, | |
| "max_depth": 3, | |
| "move_sort": "evaluation" | |
| } |