Instructions to use LLM-course/chess-sam-model-co with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LLM-course/chess-sam-model-co with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LLM-course/chess-sam-model-co", dtype="auto") - Notebooks
- Google Colab
- Kaggle
chess-sam-model-co
Chess model submitted to the LLM Course Chess Challenge.
Submission Info
- Submitted by: Sammy972
- Parameters: 1,004,572
- Organization: LLM-course
Model Details
- Architecture: Chess Transformer (GPT-style)
- Vocab size: 85
- Embedding dim: 100
- Layers: 8
- Heads: 5
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support