Instructions to use edwardhuang/test-carbonate-segmentation2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use edwardhuang/test-carbonate-segmentation2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="edwardhuang/test-carbonate-segmentation2")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("edwardhuang/test-carbonate-segmentation2") model = SegformerForSemanticSegmentation.from_pretrained("edwardhuang/test-carbonate-segmentation2") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened over 1 year ago
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SFconvertbot
Librarian Bot: Add base_model information to model
#1 opened over 2 years ago
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librarian-bot