Update README.md

README.md

@@ -8,6 +8,8 @@ tags:
 datasets:
 - custom
 pipeline_tag: image-segmentation
+base_model:
+- facebook/maskformer-swin-tiny-ade
 ---
 
 # MaskFormer for Normal/Abnormal Detection
@@ -24,13 +26,6 @@ This is a MaskFormer model fine-tuned on a custom dataset with polygon annotatio
 
 This model is intended for instance segmentation tasks to identify normal and abnormal regions in images.
 
-### How to use in CVAT
-
-1. In CVAT, go to Models → Add Model
-2. Select Hugging Face as the source
-3. Enter the model path: "{your-username}/maskformer-abnormal-detection-v4"
-4. Configure the appropriate mapping for your labels (Normal and Abnormal)
-
 ### Usage in Python
 
 ```python
@@ -52,4 +47,4 @@ with torch.no_grad():
 
 # Process outputs for visualization
 # (see example code in model repository)
-```
+```