Instructions to use facebook/mask2former-swin-base-coco-instance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mask2former-swin-base-coco-instance with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="facebook/mask2former-swin-base-coco-instance")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("facebook/mask2former-swin-base-coco-instance") model = Mask2FormerForUniversalSegmentation.from_pretrained("facebook/mask2former-swin-base-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 (18c4a07067201a4e074d8472f2167fa8b8b7f018) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>e3169bb
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Update preprocessor_config.json (#1)
- Update preprocessor_config.json (100452e767a953b685c859cfa422f6e9e728213f) Co-authored-by: Shivalika Singh <shivi@users.noreply.huggingface.co>e4185db
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