Model Details
Full Model IDPekingU/rtdetr_v2_r18vd
Pipeline / Taskobject-detection
Librarytransformers
Downloads (all-time)106.1K
Likes5
Last Modified2/6/2025
Author / OrgPekingU
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("object-detection", model="PekingU/rtdetr_v2_r18vd")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerssafetensorsrt_detr_v2object-detectionvisionendataset:cocoarxiv:2407.17140license:apache-2.0endpoints_compatibledeploy:azureregion:us
More Object Detection Models
See all →🚀 Use This Model
Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🔍 Task: Object Detection
This model is designed for the Object Detection task. Explore more models for this use case.
All Object Detection Models →📊 Popularity
⬇ Downloads106.1K
❤️ Community Likes5
🛠️ Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.