Instructions to use mzimm003/DeepChessReplicationFeatureExtractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mzimm003/DeepChessReplicationFeatureExtractor with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mzimm003/DeepChessReplicationFeatureExtractor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 110 Bytes
a98e172 | 1 2 3 4 5 6 7 8 9 10 | {
"activations": "relu",
"batch_norm": true,
"hidden_dims": [
4096,
2048,
512,
128
]
} |