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")# pip install -U transformers accelerate # 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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Correct pipeline tag and add library name, link to project page and Github repo
Verified signatureThis PR corrects the `pipeline_tag` to `object-detection` and adds the `library_name` as `transformers` because the model utilizes the transformers library. It also adds links to the project page and Github repo.9c09e53
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Update README.md
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