Model Details
Full Model IDXenova/segformer-b0-finetuned-ade-512-512
Pipeline / Taskimage-segmentation
Librarytransformers.js
Downloads (all-time)671.0K
Likes1
Last Modified7/1/2025
Author / OrgXenova
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="Xenova/segformer-b0-finetuned-ade-512-512")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformers.jsonnxsegformerimage-segmentationbase_model:nvidia/segformer-b0-finetuned-ade-512-512base_model:quantized:nvidia/segformer-b0-finetuned-ade-512-512region: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.
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⬇ Downloads671.0K
❤️ Community Likes1
🛠️ Requirements
- →Install: pip install transformers.js
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.