Update model card for yolo11-det

README.md

@@ -45,7 +45,7 @@ model-index:
 **NXP i.MX 8M Plus** | **NXP i.MX 93** | **NXP i.MX 95** | **NXP Ara240** | **RPi5 + Hailo-8/8L** | **NVIDIA Jetson**
 YOLO11 Detection models optimized for edge AI deployment across multiple hardware platforms. All sizes from Nano to XLarge, in ONNX FP32 and TFLite INT8 formats, with platform-specific compiled models for NPU acceleration.
 
-Trained on [COCO 2017](https://test.edgefirst.studio/public/projects/2839/home) (80 classes). Part of the [EdgeFirst Model Zoo](https://huggingface.co/EdgeFirst).
+Trained on [COCO 2017](https://test.edgefirst.studio/public/projects/2839/home) (80 classes). Part of the [EdgeFirst Model Zoo](https://huggingface.co/spaces/EdgeFirst/Models).
 > [!TIP]
 > **Training session**: [View on EdgeFirst Studio](https://test.edgefirst.studio/public/projects/2839/experiment/training/list?exp_id=4656) — dataset, training config, metrics, and exported artifacts.
 
@@ -204,7 +204,7 @@ Train on your own dataset with [**EdgeFirst Studio**](https://edgefirst.studio):
 
 ## See Also
 
-Other models in the [EdgeFirst Model Zoo](https://huggingface.co/EdgeFirst):
+Other models in the [EdgeFirst Model Zoo](https://huggingface.co/spaces/EdgeFirst/Models):
 
 | Model | Task | Best Nano Metric | Link |
 |-------|------|-------------------|------|