Upload README.md with huggingface_hub

README.md

@@ -44,7 +44,7 @@ move_history = [
 ]
 
 # Sample move from policy
-move = model.get_move_from_fen_no_thinking(move_history, T=0.1, device=device)
+move = model.get_move_from_history(move_history, T=0.1, device=device)
 print(f"Policy-based move: {move}")
 
 # Get the best move using value analysis
@@ -57,7 +57,7 @@ position_value = model.get_position_value(move_history, device=device)
 print(f"Position value [black_win, draw, white_win]: {position_value}")
 
 # Get move probabilities
-probs = model.get_move_from_fen_no_thinking(move_history, T=1, device=device, return_probs=True)
+probs = model.get_move_from_history(move_history, T=1, device=device, return_probs=True)
 top_moves = sorted(probs.items(), key=lambda x: x[1], reverse=True)[:5]
 print("Top 5 moves:")
 for move, prob in top_moves: