Instructions to use tue-mps/coco_instance_pmt_large_640_dinov3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tue-mps/coco_instance_pmt_large_640_dinov3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="tue-mps/coco_instance_pmt_large_640_dinov3")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tue-mps/coco_instance_pmt_large_640_dinov3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b9e206100d1f8850a267c76a496dd7f8a75283eef7634c26dc7820549a36d3f
- Size of remote file:
- 216 MB
- SHA256:
- 1ca7b434633b686f6dfb44209d027655c5dde3d764fb1c4ad9cf3d98934d951f
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