Instructions to use mujerry/mit-b0_necrosis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mujerry/mit-b0_necrosis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="mujerry/mit-b0_necrosis")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("mujerry/mit-b0_necrosis") model = SegformerForSemanticSegmentation.from_pretrained("mujerry/mit-b0_necrosis") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2dafeef12c0e7738d5e30b44b25a9930821bbf99df560faa9e39a8a2dd1cd19
- Size of remote file:
- 5.37 kB
- SHA256:
- ecd11327c917ba3125a60e01104bbe4418767ec120b367f8543d3cc8faca434a
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