Instructions to use LLM-course/chess-llm-MaximeMuh2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LLM-course/chess-llm-MaximeMuh2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LLM-course/chess-llm-MaximeMuh2", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd0fa4b027eab9948f2c4c2d898fab04ae5da34974c03d33c211bfee59849b27
- Size of remote file:
- 3.72 MB
- SHA256:
- d638adc2fb527d4c06e3a92895c9d10523d568048b92991aa434b6bbbe3ef338
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