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
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| { | |
| "epoch": 50.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crop": 0.9899491678982931, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crop": 0.9899491678982931, | |
| "eval_loss": 0.04337907209992409, | |
| "eval_mean_accuracy": 0.9899491678982931, | |
| "eval_mean_iou": 0.49497458394914656, | |
| "eval_overall_accuracy": 0.9899491678982931, | |
| "eval_runtime": 3.1379, | |
| "eval_samples_per_second": 50.352, | |
| "eval_steps_per_second": 6.374 | |
| } |