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:
- 9bf4d41c55ffa81bf55d797f93a215e45b17a90c1666502dd46695f9a0e9d856
- Size of remote file:
- 851 MB
- SHA256:
- 7a660c99ffd28e2dd2b4f77730f0c46cd744962f210eb45ff32a7945f255b12d
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