Fix Docs export table from onnxsim to onnxslim (ultralytics#13324)

Co-authored-by: Glenn Jocher <[email protected]>

docs/en/modes/export.md

@@ -83,7 +83,7 @@ This table details the configurations and options available for exporting YOLO m
 | `half`      | `bool`           | `False`         | Enables FP16 (half-precision) quantization, reducing model size and potentially speeding up inference on supported hardware.                                     |
 | `int8`      | `bool`           | `False`         | Activates INT8 quantization, further compressing the model and speeding up inference with minimal accuracy loss, primarily for edge devices.                     |
 | `dynamic`   | `bool`           | `False`         | Allows dynamic input sizes for ONNX and TensorRT exports, enhancing flexibility in handling varying image dimensions.                                            |
-| `simplify`  | `bool`           | `False`         | Simplifies the model graph for ONNX exports with `onnxsim`, potentially improving performance and compatibility.                                                 |
+| `simplify`  | `bool`           | `False`         | Simplifies the model graph for ONNX exports with `onnxslim`, potentially improving performance and compatibility.                                                 |
 | `opset`     | `int`            | `None`          | Specifies the ONNX opset version for compatibility with different ONNX parsers and runtimes. If not set, uses the latest supported version.                      |
 | `workspace` | `float`          | `4.0`           | Sets the maximum workspace size in GiB for TensorRT optimizations, balancing memory usage and performance.                                                       |
 | `nms`       | `bool`           | `False`         | Adds Non-Maximum Suppression (NMS) to the CoreML export, essential for accurate and efficient detection post-processing.                                         |