Model Details
Full Model IDXpitfire/segformer-finetuned-segments-cmp-facade
Pipeline / Taskimage-segmentation
Librarytransformers
Downloads (all-time)30.2K
Likes3
Last Modified1/15/2023
Author / OrgXpitfire
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="Xpitfire/segformer-finetuned-segments-cmp-facade")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerspytorchsegformerimage-classificationbuildingimage-segmentationendataset:Xpitfire/cmp_facadearxiv:1411.4038license:mitendpoints_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.
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⬇ Downloads30.2K
❤️ Community Likes3
🛠️ 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.