Instructions to use LLM-course/chess_MaximeMuh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LLM-course/chess_MaximeMuh with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LLM-course/chess_MaximeMuh", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
chess_MaximeMuh
Chess model submitted to the LLM Course Chess Challenge.
Submission Info
- Submitted by: MaximeMuhlethaler
- Parameters: 980,000
- Organization: LLM-course
- Architecture: Custom Chess Transformer (Regex Tokenizer + EOS Protection)
Model Details
- Vocab size: 1700
- Layers: 6
- Heads: 8
- Downloads last month
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# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LLM-course/chess_MaximeMuh", trust_remote_code=True, dtype="auto")