Update README.md

adding model link

README.md

@@ -42,7 +42,11 @@ The dataset includes frames from multiple sessions, over two days of data collec
 The dataset consists of 29,268 frames. Each frame is accompanied by annotations in YOLO format, indicating the presence of zebras and their bounding boxes within the images. The annotations were completed manually by the dataset curator using [CVAT](https://www.cvat.ai/) and [kabr-tools](https://github.com/Imageomics/kabr-tools).
 
 
-The dataset is intended for use in training and evaluating computer vision models for animal detection and classification from drone imagery.
+The dataset is intended for use in training and evaluating computer vision models for animal detection and classification from drone imagery. 
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+See the [fine-tuned YOLO11m model](https://huggingface.co/imageomics/mmla) that was trained using this dataset.
+
+
 
 | Session | Date Collected | Video ID  | Total Frames | Size (pixels) | 
 |---------|---------------|-----------|--------------|---------------|