Instructions to use facebook/maskformer-swin-large-coco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/maskformer-swin-large-coco with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="facebook/maskformer-swin-large-coco")# Load model directly from transformers import AutoImageProcessor, MaskFormerForInstanceSegmentation processor = AutoImageProcessor.from_pretrained("facebook/maskformer-swin-large-coco") model = MaskFormerForInstanceSegmentation.from_pretrained("facebook/maskformer-swin-large-coco", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1a31b70b2748717bde37426f58b030ec3c13812b78b5b9c5fa6baadd9db2dae
- Size of remote file:
- 850 MB
- SHA256:
- 2cb9f2b6eec7db534e7c13d47ce47e2785c969f3b41abbd329600b6ac8c31746
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