Text Generation
Transformers
Safetensors
chess_transformer
chess
llm-course
chess-challenge
custom_code
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("LLM-course/chess-chess", trust_remote_code=True, dtype="auto")Quick Links
chess-chess
Chess model submitted to the LLM Course Chess Challenge.
Submission Info
- Submitted by: GKlajer
- Parameters: 920,416
- Organization: LLM-course
Model Details
- Architecture: Chess Transformer (GPT-style)
- Vocab size: 85
- Embedding dim: 128
- Layers: 5
- Heads KV: 5
- Heads Q: 5
- Downloads last month
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="LLM-course/chess-chess", trust_remote_code=True)