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 model.safetensors from mzimm003/DeepChessReplicationFeatureExtractor: direct link, hf CLI and curl.
- Browser
- Download file 155 MB
-
https://huggingface.co/mzimm003/DeepChessReplicationFeatureExtractor/resolve/main/model.safetensors
- Command line
-
hf download hf://mzimm003/DeepChessReplicationFeatureExtractor/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/mzimm003/DeepChessReplicationFeatureExtractor/resolve/main/model.safetensors
155 MB
- Xet hash:
- ad72dc29b3246584fa41e8109057fb35212b30354634d739d1916ac8002e5308
- Size of remote file:
- 155 MB
- SHA256:
- 3a1863589b93d6dc0e32868d6006b34ec0b541b6cd1191909b92e5749fbb1f0f
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