Instructions to use facebook/maskformer-resnet101-coco-stuff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/maskformer-resnet101-coco-stuff with Transformers:
# Load model directly from transformers import AutoImageProcessor, MaskFormerForInstanceSegmentation processor = AutoImageProcessor.from_pretrained("facebook/maskformer-resnet101-coco-stuff") model = MaskFormerForInstanceSegmentation.from_pretrained("facebook/maskformer-resnet101-coco-stuff") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d235163037d960cc829684de9255eb971b7f3364b6352022c0b6ec4f47c9f503
- Size of remote file:
- 242 MB
- SHA256:
- 396bd8384cf94bd76e2cb39fda69fec51fabc760006b15ac2ba7b9b6626d1dc2
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