Fix model card with YAML metadata

README.md

@@ -1,4 +1,3 @@
-%%writefile README.md
 ---
 library_name: pytorch
 tags:
@@ -13,7 +12,7 @@ metrics:
   - accuracy
 ---
 
-# MNIST MLP (fold‑4 best)
+# MNIST MLP (fold-4 best)
 
 **Model**: `ImprovedMLP` (2048 → 1024 → 512 → 256 → 128 → 10)  
 **File**: `mlp_best_fold4.pth`  
@@ -42,4 +41,4 @@ class ImprovedMLP(nn.Module):
 path = hf_hub_download("chandu1617/MNIST_with_MLP", "mlp_best_fold4.pth")
 model = ImprovedMLP()
 model.load_state_dict(torch.load(path))
-model.eval()
+model.eval()