---
library_name: transformers
tags:
- chess
- llm-course
- chess-challenge
license: mit
---

# my-chess-model

Chess model submitted to the LLM Course Chess Challenge.

## Submission Info

- **Submitted by**: [nathanael-fijalkow](https://huggingface.co/nathanael-fijalkow)
- **Parameters**: 909,824
- **Organization**: LLM-course

## Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("LLM-course/my-chess-model", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("LLM-course/my-chess-model", trust_remote_code=True)
```

## Model Details

- **Architecture**: Chess Transformer (GPT-style)
- **Vocab size**: 1682
- **Embedding dim**: 128
- **Layers**: 4
- **Heads**: 4