Instructions to use almvos/chess_model_full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use almvos/chess_model_full with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("almvos/chess_model_full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from almvos/chess_model_full: direct link, hf CLI and curl.
- Browser
- Download file 309 MB
-
https://huggingface.co/almvos/chess_model_full/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://almvos/chess_model_full/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/almvos/chess_model_full/resolve/main/adapter_model.safetensors
309 MB
- Xet hash:
- ca6aa95eb7d71b810b2fc5c96d6b39c0fa64c4452a8daf3baae6c1d8c310f288
- Size of remote file:
- 309 MB
- SHA256:
- d44fe56379f0c3db404932738e37b4c926580301ae9654a158b76b367fcd2696
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