Instructions to use NbAiLab/autocrop-av-abm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/autocrop-av-abm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="NbAiLab/autocrop-av-abm")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("NbAiLab/autocrop-av-abm") model = SegformerForSemanticSegmentation.from_pretrained("NbAiLab/autocrop-av-abm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f975cb93675143c25c52d7a50e9c93fc8db24cd12c8b0641062708499655797
- Size of remote file:
- 5.33 kB
- SHA256:
- dd411f95b2cdb154653cc3a2ef338a6ec2c5ca0d6be13a76e91477b289a9e582
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