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
End of training
Browse files- README.md +9 -7
- all_results.json +15 -15
- eval_results.json +10 -10
- train_results.json +6 -6
- trainer_state.json +356 -483
README.md
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license: other
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base_model: nvidia/mit-b0
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tags:
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- generated_from_trainer
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datasets:
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- generator
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# autocrop-bilder
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This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Mean Iou: 0.
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- Mean Accuracy: 0.
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- Overall Accuracy: 0.
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- Accuracy Background: nan
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- Accuracy Crop: 0.
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- Iou Background: 0.0
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- Iou Crop: 0.
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## Model description
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license: other
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base_model: nvidia/mit-b0
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tags:
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- image-segmentation
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- vision
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- generated_from_trainer
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datasets:
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- generator
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# autocrop-bilder
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This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the /mnt/disk1/autocrop-data/datasets/bilder/ dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1087
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- Mean Iou: 0.4908
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- Mean Accuracy: 0.9816
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- Overall Accuracy: 0.9816
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- Accuracy Background: nan
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- Accuracy Crop: 0.9816
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- Iou Background: 0.0
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- Iou Crop: 0.9816
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## Model description
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all_results.json
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