Instructions to use pillowl/learn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use pillowl/learn with ultralytics:
from ultralytics import YOLOvv11 model = YOLOvv11.from_pretrained("pillowl/learn") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
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)
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)
- Downloads last month
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Model tree for pillowl/learn
Base model
Ultralytics/YOLO11