Instructions to use sigmoidneuron123/NeoChess with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use sigmoidneuron123/NeoChess with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir NeoChess sigmoidneuron123/NeoChess
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio

- Xet hash:
- 5aa4e3ffc69f8879191e4e9a929fdd09ba6741affb517893311c6740ed767628
- Size of remote file:
- 1.44 MB
- SHA256:
- 942f6c6e06bc8385b1e08415d153b967f40e8663dce6f3ec9477b9b03f26f00f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.