Instructions to use tue-mps/cityscapes_semantic_eomt_large_1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tue-mps/cityscapes_semantic_eomt_large_1024 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="tue-mps/cityscapes_semantic_eomt_large_1024")# Load model directly from transformers import AutoImageProcessor, EomtForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("tue-mps/cityscapes_semantic_eomt_large_1024") model = EomtForUniversalSegmentation.from_pretrained("tue-mps/cityscapes_semantic_eomt_large_1024") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc6561ab0765d7ade1ec7981dc475451dd277a93beba867b77e2fa88477496a6
- Size of remote file:
- 1.28 GB
- SHA256:
- 8a14f847bd71480f5ce3864366b50898d3a9863c24ef112edfe66123cedbb2a3
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