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
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e783731de257615e845442617e55ae88ade77070ce7327e86196d3cd3714c713
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size 240692672
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