drop non-working yolonas support

.github/workflows/ci.yml

@@ -110,10 +110,6 @@ jobs:
         run: >
           pip install ultralytics==8.0.207
 
-      - name: Install super-gradients(3.3.1)
-        run: >
-          pip install super-gradients==3.3.1
-
       - name: Unittest for SAHI+YOLOV5/MMDET/Detectron2 on all platforms
         run: |
           python -m unittest

.github/workflows/package_testing.yml

@@ -88,10 +88,6 @@ jobs:
         run: >
           pip install ultralytics==8.0.207
 
-      - name: Install super-gradients(3.3.1)
-        run: >
-          pip install super-gradients==3.3.1
-
       - name: Install latest SAHI package
         run: >
           pip install --upgrade --force-reinstall sahi

README.md

@@ -80,9 +80,7 @@ Object detection and instance segmentation are by far the most important applica
 
 - `RT-DETR` + `SAHI` walkthrough: <a href="https://colab.research.google.com/github/obss/sahi/blob/main/demo/inference_for_rtdetr.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="sahi-rtdetr"></a> (NEW)
 
-- `YOLOv8` + `SAHI` walkthrough: <a href="https://colab.research.google.com/github/obss/sahi/blob/main/demo/inference_for_yolov8.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="sahi-yolov8"></a> (NEW)
-
-- `SuperGradients/YOLONAS` + `SAHI`: <a href="https://colab.research.google.com/github/obss/sahi/blob/main/demo/inference_for_yolonas.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="sahi-yolonas"></a> (NEW)
+- `YOLOv8` + `SAHI` walkthrough: <a href="https://colab.research.google.com/github/obss/sahi/blob/main/demo/inference_for_yolov8.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="sahi-yolov8"></a>
 
 - `DeepSparse` + `SAHI` walkthrough: <a href="https://colab.research.google.com/github/obss/sahi/blob/main/demo/inference_for_sparse_yolov5.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="sahi-deepsparse"></a>