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---
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
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