Instructions to use NbAiLab/autocrop-combined with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/autocrop-combined with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="NbAiLab/autocrop-combined")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("NbAiLab/autocrop-combined") model = SegformerForSemanticSegmentation.from_pretrained("NbAiLab/autocrop-combined") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec7fee2629b4c0ac401b5f33e72e0180a5d602aab160088ef839b888e55d409a
- Size of remote file:
- 5.33 kB
- SHA256:
- af4b7be5dfe7de55f2f1dec8a654aa6cbe3a77b7930402b34559ddf070815844
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