Instructions to use vimassaru/teeth-seg-upernet-convnext-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vimassaru/teeth-seg-upernet-convnext-tiny with Transformers:
# Load model directly from transformers import AutoImageProcessor, UperNetForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("vimassaru/teeth-seg-upernet-convnext-tiny") model = UperNetForSemanticSegmentation.from_pretrained("vimassaru/teeth-seg-upernet-convnext-tiny") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#1 opened over 2 years ago
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librarian-bot