Update README.md

README.md

@@ -4,7 +4,7 @@
 ---
 
 ### Model Overview
-**SOTA-Blitz-997** is a high-velocity Vision Transformer (ViT) architecture optimized for the MNIST handwritten digit classification task. While most "State-of-the-Art" models rely on massive ensembles and hours of GPU compute, **SOTA-Blitz-997** was engineered at **Andy Labs** to achieve elite accuracy within a single 7-minute training window on a standard NVIDIA T4 by leveraging the global attention mechanisms of the Transformer block.
+**SOTA-Blitz-997** is a high-velocity Vision Transformer (ViT) architecture optimized for the MNIST handwritten digit classification task. While most "State-of-the-Art" models rely on massive ensembles and hours of GPU compute, **SOTA-Blitz-997** was engineered to achieve elite accuracy within a single 7-minute training window on a standard NVIDIA T4 by leveraging the global attention mechanisms of the Transformer block.
 
 ### Performance & Proof
 The model achieves a verified **99.72% Test Accuracy**, leaving only **28 errors** out of 10,000 images. This performance exceeds the human baseline (~97.5%) and demonstrates that ViT architectures can effectively "solve" classic computer vision benchmarks with extreme efficiency.
@@ -38,4 +38,8 @@ import torch
 model_weights = load_file("SOTA-Blitz-997.safetensors")
 
 # Apply to your ViT architecture
-# model.load_state_dict(model_weights)
+# model.load_state_dict(model_weights)
+```
+
+### Made By
+Andy-ML-And-AI