Model Details
Full Model IDustc-community/dfine-xlarge-obj2coco
Pipeline / Taskobject-detection
Librarytransformers
Downloads (all-time)40.4K
Likes6
Last Modified5/5/2025
Author / Orgustc-community
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="ustc-community/dfine-xlarge-obj2coco")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerssafetensorsd_fineobject-detectionvisionendataset:cocoarxiv:2410.13842license:apache-2.0endpoints_compatibleregion:us
More Object Detection Models
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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
⬇ Downloads40.4K
❤️ Community Likes6
🛠️ 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.