Instructions to use tue-mps/coco_instance_eomt_large_1280 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_1280 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_1280")# Load model directly from transformers import AutoImageProcessor, EomtForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("tue-mps/coco_instance_eomt_large_1280") model = EomtForUniversalSegmentation.from_pretrained("tue-mps/coco_instance_eomt_large_1280", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bbc984bad35f94f9dbad6f81c46bb0d32d25d05a945616c2a231d0cd815eec41
- Size of remote file:
- 1.29 GB
- SHA256:
- 675ef0cc87a62f21a4b4aae482bc6aa26262d4483a31f3d2a68c21d13a6860f4
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