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README.md

@@ -52,8 +52,8 @@ The model returns traffic-sign codes such as `P-102`, `R-303`, and `W-224`. Viet
 | ----------------------- | --------- | -------------------------------------------- |
 | `vtsr.pt`               | FP32      | PyTorch                                      |
 | `vtsr_int8.onnx`        | INT8      | ONNX Runtime, CPU, cross-platform deployment |
-| `vtsr_fp16.torchscript` | FP16      | TorchScript runtimes                         |
-| `vtsr_int8.engine`      | INT8      | NVIDIA TensorRT and Jetson devices           |
+| `vtsr.torchscript`      | FP16      | TorchScript runtimes                         |
+| `vtsr.engine`           | INT8      | NVIDIA TensorRT and Jetson devices           |
 | `label-mapping.json`    | —         | Traffic-sign code descriptions               |
 
 > The original FP32 PyTorch checkpoint is intentionally omitted. This repository provides optimized deployment artifacts only.
@@ -74,8 +74,8 @@ from ultralytics import YOLO
 # Supported artifacts:
 # vtsr.pt
 # vtsr_int8.onnx
-# vtsr_fp16.torchscript
-# vtsr_int8.engine
+# vtsr.torchscript
+# vtsr.engine
 
 model = YOLO("vtsr_int8.onnx")
 
@@ -111,8 +111,8 @@ mapping_path = hf_hub_download(
 Other artifacts can be downloaded in the same way:
 
 * `vtsr.pt`
-* `vtsr_fp16.torchscript`
-* `vtsr_int8.engine`
+* `vtsr.torchscript`
+* `vtsr.engine`
 
 ## Benchmark