Instructions to use tue-mps/coco_instance_eomt_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_eomt_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_eomt_large_640_dinov3")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tue-mps/coco_instance_eomt_large_640_dinov3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Adding `safetensors` variant of this model (#2) 1e49a34 verified
Update README.md 6c6b21f verified
Create README.md 4083365 verified
coco_instance_eomt_large_640_dinov3 checkpoint, refer to the original repository for more information: https://github.com/tue-mps/eomt b3308c4
NiccoloCavagnero commited on