# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("LLM-course/chess_minfreq2", dtype="auto")Quick Links
chess_minfreq2
Chess model submitted to the LLM Course Chess Challenge.
Submission Info
- Submitted by: alexandreduplessis
- Parameters: 3,030,912
- Organization: LLM-course
Model Details
- Architecture: Chess Transformer (GPT-style)
- Vocab size: 18253
- Embedding dim: 128
- Layers: 4
- Heads: 4
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="LLM-course/chess_minfreq2")