# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("LLM-course/velmen-chess-model", dtype="auto")Quick Links
velmen-chess-model
Chess model submitted to the LLM Course Chess Challenge.
Submission Info
- Submitted by: velmen
- Parameters: 971,516
- Organization: LLM-course
Model Details
- Architecture: Chess Transformer (GPT-style)
- Vocab size: 1682
- Embedding dim: 84
- Layers: 7
- Heads: 6
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="LLM-course/velmen-chess-model")