| --- |
| library_name: ultralytics |
| pipeline_tag: object-detection |
| tags: |
| - ultralytics |
| - yolov11 |
| widget: |
| - src: https://huggingface.co/pillowl/learn/resolve/main/001481.jpg |
| example_title: YOLOv11 Object Detection |
| base_model: |
| - Ultralytics/YOLO11 |
| --- |
| |
| # 我的第一个学习模型 (YOLOv11) |
|
|
| 这是一个使用 YOLOv11 训练的物体检测模型。 |
|
|
| ## 模型描述 |
|
|
| (在这里写下你的模型是用来检测什么的) |
|
|
| ## 如何使用 (Python - Ultralytics) |
|
|
| ```python |
| from ultralytics import YOLO |
| |
| # 加载你托管在Hugging Face上的模型 |
| # 注意：这里的模型ID应为 "YourUsername/YourRepoName" |
| model = YOLO("pillowl/learn") |
| |
| # 定义一个图片源 |
| source = '[https://huggingface.co/pillowl/learn/resolve/main/001481.jpg](https://huggingface.co/pillowl/learn/resolve/main/001481.jpg)' |
| |
| # 进行推理预测 |
| results = model.predict(source=source) |
