Model Details
Full Model IDjonathandinu/face-parsing
Pipeline / Taskimage-segmentation
Librarytransformers
Downloads (all-time)234.6K
Likes217
Last Modified2/18/2026
Author / Orgjonathandinu
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("image-segmentation", model="jonathandinu/face-parsing")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerspytorchonnxsafetensorssegformervisionimage-segmentationnvidia/mit-b5transformers.jsendataset:celebamaskhqarxiv:2105.15203endpoints_compatibledeploy:azureregion:us
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Open on Hugging Face →Browse Model Files ↗← Browse All Models🤖 Task: image-segmentation
This model is designed for the image-segmentation task. Explore more models for this use case.
All image-segmentation Models →📊 Popularity
⬇ Downloads234.6K
❤️ Community Likes217
🛠️ 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.