diff --git a/ultralytics/models/yolov10/card.py b/ultralytics/models/yolov10/card.py
new file mode 100644
index 00000000..e87820ad
--- /dev/null
+++ b/ultralytics/models/yolov10/card.py
@@ -0,0 +1,62 @@
+card_template_text = """
+---
+license: agpl-3.0
+tags:
+- object-detection
+- computer-vision
+- yolov10
+datasets:
+- detection-datasets/coco
+inference: false
+---
+
+### Model Description
+[YOLOv10: Real-Time End-to-End Object Detection](https://arxiv.org/abs/2405.14458v1)
+
+- arXiv: https://arxiv.org/abs/2405.14458v1
+- github: https://github.com/THU-MIG/yolov10
+
+### Installation
+```
+pip install git+https://github.com/THU-MIG/yolov10.git
+```
+
+### Training and validation
+```python
+from ultralytics import YOLOv10
+
+model = YOLOv10.from_pretrained('jameslahm/yolov10n')
+# Training
+model.train(...)
+# after training, one can push to the hub
+model.push_to_hub("your-hf-username/yolov10-finetuned")
+
+# Validation
+model.val(...)
+```
+
+### Inference
+
+Here's an end-to-end example showcasing inference on a cats image:
+
+```python
+from ultralytics import YOLOv10
+
+model = YOLOv10.from_pretrained('jameslahm/yolov10n')
+source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
+model.predict(source=source, save=True)
+```
+which shows:
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/628ece6054698ce61d1e7be3/tBwAsKcQA_96HCYQp7BRr.png)
+
+### BibTeX Entry and Citation Info
+```
+@article{wang2024yolov10,
+  title={YOLOv10: Real-Time End-to-End Object Detection},
+  author={Wang, Ao and Chen, Hui and Liu, Lihao and Chen, Kai and Lin, Zijia and Han, Jungong and Ding, Guiguang},
+  journal={arXiv preprint arXiv:2405.14458},
+  year={2024}
+}
+```
+""".strip()
\ No newline at end of file
diff --git a/ultralytics/models/yolov10/model.py b/ultralytics/models/yolov10/model.py
index 5338cfd9..123e31b0 100644
--- a/ultralytics/models/yolov10/model.py
+++ b/ultralytics/models/yolov10/model.py
@@ -5,8 +5,11 @@ from .predict import YOLOv10DetectionPredictor
 from .train import YOLOv10DetectionTrainer
 
 from huggingface_hub import PyTorchModelHubMixin
+from .card import card_template_text
 
-class YOLOv10(Model, PyTorchModelHubMixin, library_name="ultralytics", repo_url="https://github.com/THU-MIG/yolov10", tags=["object-detection", "yolov10"]):
+class YOLOv10(Model, PyTorchModelHubMixin, library_name="ultralytics", \
+              repo_url="https://github.com/THU-MIG/yolov10", \
+              model_card_template=card_template_text):
 
     def __init__(self, model="yolov10n.pt", task=None, verbose=False, 
                  names=None):