Instructions to use HorcruxNo13/segformer-b0-finetuned-segments-toolwear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HorcruxNo13/segformer-b0-finetuned-segments-toolwear with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("HorcruxNo13/segformer-b0-finetuned-segments-toolwear") model = SegformerForSemanticSegmentation.from_pretrained("HorcruxNo13/segformer-b0-finetuned-segments-toolwear", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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update model card README.md
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README.md
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---
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license: other
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tags:
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- vision
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- image-segmentation
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- generated_from_trainer
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model-index:
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- name: segformer-b0-finetuned-segments-toolwear
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# segformer-b0-finetuned-segments-toolwear
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This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on
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It achieves the following results on the evaluation set:
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- Loss: 0.0236
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- Mean Iou: 0.4952
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---
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license: other
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tags:
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- generated_from_trainer
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model-index:
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- name: segformer-b0-finetuned-segments-toolwear
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# segformer-b0-finetuned-segments-toolwear
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This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0236
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- Mean Iou: 0.4952
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