Instructions to use CondadosAI/mask2former_swin_tiny_coco_instance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CondadosAI/mask2former_swin_tiny_coco_instance with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="CondadosAI/mask2former_swin_tiny_coco_instance")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("CondadosAI/mask2former_swin_tiny_coco_instance") model = Mask2FormerForUniversalSegmentation.from_pretrained("CondadosAI/mask2former_swin_tiny_coco_instance", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Duplicate from facebook/mask2former-swin-tiny-coco-instance
Co-authored-by: Alara Dirik <adirik@users.noreply.huggingface.co>ef52807