Instructions to use tue-mps/coco_instance_eomt_large_640 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 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")# Load model directly from transformers import AutoImageProcessor, EomtForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("tue-mps/coco_instance_eomt_large_640") model = EomtForUniversalSegmentation.from_pretrained("tue-mps/coco_instance_eomt_large_640") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_type": "eomt", | |
| "backbone": "vit_large_patch14_reg4_dinov2", | |
| "image_size": 640, | |
| "patch_size": 16, | |
| "num_queries": 200, | |
| "num_blocks": 4, | |
| "num_labels": 80 | |
| } |