Instructions to use LLM-course/chess-llm-louish2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LLM-course/chess-llm-louish2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LLM-course/chess-llm-louish2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
chess-llm-louish2
Chess model submitted to the LLM Course Chess Challenge.
Submission Info
- Submitted by: louishayot
- Parameters: 779,136
- Organization: LLM-course
Model Details
- Architecture: Chess Transformer (GPT-style)
- Vocab size: 1682
- Embedding dim: 96
- Layers: 8
- Heads: 6
- Downloads last month
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Inference Providers NEW
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# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LLM-course/chess-llm-louish2", dtype="auto")