Instructions to use facebook/mask2former-swin-large-coco-instance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mask2former-swin-large-coco-instance with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="facebook/mask2former-swin-large-coco-instance")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("facebook/mask2former-swin-large-coco-instance") model = Mask2FormerForUniversalSegmentation.from_pretrained("facebook/mask2former-swin-large-coco-instance", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#2)
- Adding `safetensors` variant of this model (43523b348663b3d14b6735ab6afd9921df687f61) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>d8f2bce
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Update preprocessor_config.json (#1)
- Update preprocessor_config.json (d91110da622d7baf5bc3d7ab6d101185e8657890) Co-authored-by: Shivalika Singh <shivi@users.noreply.huggingface.co>3ee68cb
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initial commit
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