Instructions to use NbAiLab/autocrop-bilder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/autocrop-bilder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="NbAiLab/autocrop-bilder")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("NbAiLab/autocrop-bilder") model = SegformerForSemanticSegmentation.from_pretrained("NbAiLab/autocrop-bilder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c36d86c78ae036ae08c1f5799a6631112f3805e7ee1a5746a617efa075224a5
- Size of remote file:
- 5.33 kB
- SHA256:
- dc9772faca2bc0824d16aa71bb493af1205625c73aeaec03834808e2b2eaafef
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