Instructions to use facebook/mask2former-swin-large-ade-panoptic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mask2former-swin-large-ade-panoptic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="facebook/mask2former-swin-large-ade-panoptic")# Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("facebook/mask2former-swin-large-ade-panoptic") model = Mask2FormerForUniversalSegmentation.from_pretrained("facebook/mask2former-swin-large-ade-panoptic") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c4ad6a020219edfde683864e11be709d94a6603e1a8bc9a6c354c9e491bd36a
- Size of remote file:
- 866 MB
- SHA256:
- 959905d66e497b8246308f00c4a72dd9e59d3f41e048c2bd0a0b0d5677dfc249
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