metadata
library_name: transformers
tags:
- chess
- llm-course
- chess-challenge
license: mit
chess-littletestmodel
Chess model for LLM Course Challenge.
- By: MDaytek
- Params: 790,560
- Architecture: GPT-2 with custom tokenizer
Usage
The model uses a custom tokenizer. Load it with:
from transformers import GPT2LMHeadModel, AutoConfig
import json
config = AutoConfig.from_pretrained("LLM-course/chess-littletestmodel")
model = GPT2LMHeadModel.from_pretrained("LLM-course/chess-littletestmodel", config=config)
# Load vocab
with open("vocab.json") as f:
vocab = json.load(f)