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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:020ceff8ad9ecf1e9428a2cf5df569bd165c31d7dd783bc8e5ee3cc1eff1e087
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size 14887860
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