Model Details
Full Model IDvalentinafevu/yolos-fashionpedia
Pipeline / Taskobject-detection
Librarytransformers
Downloads (all-time)281.4K
Likes145
Last Modified2/4/2026
Author / Orgvalentinafevu
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="valentinafevu/yolos-fashionpedia")
# Run inference
result = pipe("Your input here")
print(result)����� Tags
transformerspytorchyolosobject-detectionYOLOSObject detectionendataset:detection-datasets/fashionpedialicense:mitendpoints_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
⬇ Downloads281.4K
����� Community Likes145
🛠�� 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.