Instructions to use datafreak/laya-chess with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use datafreak/laya-chess with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download train_state.pt from datafreak/laya-chess: direct link, hf CLI and curl.
- Browser
- Download file 3.37 GB
-
https://huggingface.co/datafreak/laya-chess/resolve/main/train_state.pt
- Command line
-
hf download hf://datafreak/laya-chess/train_state.pt
-
curl -L -o train_state.pt https://huggingface.co/datafreak/laya-chess/resolve/main/train_state.pt
3.37 GB
- Xet hash:
- c5caee467e1f667f018fa00c50bc3d6298acd6967dcb67bac392ee60684ab459
- Size of remote file:
- 3.37 GB
- SHA256:
- 310adc86bd9605418b82b2f2ec8bbaa3bd9b256bb987ecb1292bc8c41cc5f7c5
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