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") - Notebooks
- Google Colab
- Kaggle
Improve model card: add library, correct pipeline tag, link to project page
#1
by nielsr HF Staff - opened
This PR improves the model card by:
- Correcting the pipeline tag to
image-segmentation. - Adding the
transformerslibrary. - Linking to the project page.
These changes will improve the discoverability and usability of the model on the Hugging Face Hub.