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
Adding `safetensors` variant of this model
#3 opened about 1 year ago
by
SFconvertbot
Adding `safetensors` variant of this model
#2 opened about 1 year ago
by
SFconvertbot
Correct pipeline tag and add library name, link to project page and Github repo
#1 opened about 1 year ago
by
nielsr