Model Details
Full Model IDPekingU/rtdetr_r101vd_coco_o365
Pipeline / Taskobject-detection
Librarytransformers
Downloads (all-time)1.2M
Likes32
Last Modified7/1/2024
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_r101vd_coco_o365")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerssafetensorsrt_detrobject-detectionvisionendataset:cocoarxiv:2304.08069license:apache-2.0endpoints_compatibledeploy:azureregion:us
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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
⬇ Downloads1.2M
❤️ Community Likes32
🛠️ 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.