| title: Mnist Object Detection | |
| emoji: 🏢 | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: streamlit | |
| sdk_version: 1.35.0 | |
| app_file: app.py | |
| pinned: false | |
| # YOLOv8 Model | |
| This is a YOLOv8 model trained for [Object Detection]. | |
| ## Model Details | |
| - **Architecture**: YOLOv8 | |
| - **Framework**: PyTorch | |
| - **Dataset**: [Mnist] | |
| ## Usage | |
| ```python | |
| from transformers import pipeline | |
| model = pipeline('object-detection', model='your-username/your-repository-name') | |
| results = model('path/to/your/image.jpg') | |
| print(results) |