metadata
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
- Parameters: 909,824
- Organization: LLM-course
Usage
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