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
Download config.json from mzimm003/DeepChessReplicationFeatureExtractor: direct link, hf CLI and curl.
- Browser
- Download file 110 Bytes
-
https://huggingface.co/mzimm003/DeepChessReplicationFeatureExtractor/resolve/main/config.json
- Command line
-
hf download hf://mzimm003/DeepChessReplicationFeatureExtractor/config.json
-
curl -L -o config.json https://huggingface.co/mzimm003/DeepChessReplicationFeatureExtractor/resolve/main/config.json
110 Bytes
| { | |
| "activations": "relu", | |
| "batch_norm": true, | |
| "hidden_dims": [ | |
| 4096, | |
| 2048, | |
| 512, | |
| 128 | |
| ] | |
| } |