🤖 image-segmentation

mask2former-swin-tiny-coco-instance

facebook/mask2former-swin-tiny-coco-instance

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transformers
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Model Details
Full Model IDfacebook/mask2former-swin-tiny-coco-instance
Pipeline / Taskimage-segmentation
Librarytransformers
Downloads (all-time)56.0K
Likes14
Last Modified9/11/2023
Author / Orgfacebook
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="facebook/mask2former-swin-tiny-coco-instance")

# Run inference
result = pipe("Your input here")
print(result)
🏷️ Tags
transformerspytorchsafetensorsmask2formervisionimage-segmentationdataset:cocoarxiv:2112.01527arxiv:2107.06278license:otherendpoints_compatibledeploy:azureregion:us
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🚀 Use This Model

Access model files, inference API, and full documentation on Hugging Face.

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
Downloads56.0K
❤️ Community Likes14
🛠️ 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.
👋 Need help with code?