Instructions to use andro-flock/b2-segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andro-flock/b2-segmentation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="andro-flock/b2-segmentation")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("andro-flock/b2-segmentation") model = SegformerForSemanticSegmentation.from_pretrained("andro-flock/b2-segmentation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9516a959987a1117e4735bb9cefe9f6ee9b69c0aa2c6921d6b247c8cb9f149d7
- Size of remote file:
- 5.43 kB
- SHA256:
- a31b223fa03376c8ece09ab0e17c53ee11f53b02c5d17355ccd5503c10c6ee91
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