Instructions to use facebook/maskformer-swin-tiny-coco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/maskformer-swin-tiny-coco with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="facebook/maskformer-swin-tiny-coco")# Load model directly from transformers import AutoImageProcessor, MaskFormerForInstanceSegmentation processor = AutoImageProcessor.from_pretrained("facebook/maskformer-swin-tiny-coco") model = MaskFormerForInstanceSegmentation.from_pretrained("facebook/maskformer-swin-tiny-coco") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 699ed25715e86842818d95dd0ffc154fe62ad501149415ee77c18bb7dbbafd7f
- Size of remote file:
- 167 MB
- SHA256:
- 0bb929483bcef6f78cc1ce89842bd9a1b8547a65938d2a1bcf874a77fa8bc976
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