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
File size: 455 Bytes
03ae956 3e34390 03ae956 3e34390 03ae956 3e34390 03ae956 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"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
} |