Object Detection
ultralytics
ONNX
yolo
yolo11
document-layout-analysis
document-understanding
research-papers
Instructions to use darkdwine/yolo11-doc-layout-research-papers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use darkdwine/yolo11-doc-layout-research-papers with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("darkdwine/yolo11-doc-layout-research-papers", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download per-class.png from darkdwine/yolo11-doc-layout-research-papers: direct link, hf CLI and curl.
- Browser
- Download file 88.2 kB
-
https://huggingface.co/darkdwine/yolo11-doc-layout-research-papers/resolve/main/per-class.png
- Command line
-
hf download hf://darkdwine/yolo11-doc-layout-research-papers/per-class.png
-
curl -L -o per-class.png https://huggingface.co/darkdwine/yolo11-doc-layout-research-papers/resolve/main/per-class.png
88.2 kB
