Model Details
Full Model IDmattmdjaga/segformer_b2_clothes
Pipeline / Taskimage-segmentation
Librarytransformers
Downloads (all-time)126.3K
Likes494
Last Modified9/19/2025
Author / Orgmattmdjaga
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="mattmdjaga/segformer_b2_clothes")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerspytorchonnxsafetensorssegformervisionimage-segmentationdataset:mattmdjaga/human_parsing_datasetarxiv:2105.15203license:otherendpoints_compatibleregion: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
⬇ Downloads126.3K
❤️ Community Likes494
🛠️ 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.