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README.md
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## Evaluation
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### Testing Data, Factors & Metrics
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- **Testing Data:** CIFAR-10 test set
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- **Metrics:** Top-1 accuracy
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This model is part of the research conducted using the [Machine Unlearning Comparator](https://github.com/gnueaj/Machine-Unlearning-Comparator). The tool was developed to compare various machine unlearning methods and their effects on models.
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## Uses
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### Direct Use
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The models are not suitable for tasks requiring general-purpose image classification beyond the CIFAR-10 dataset.
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## How to Get Started with the Model
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Use the code below to load the models with the appropriate architecture and weights:
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---
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## Evaluation
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- **Testing Data:** CIFAR-10 test set
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- **Metrics:** Top-1 accuracy
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This model is part of the research conducted using the [Machine Unlearning Comparator](https://github.com/gnueaj/Machine-Unlearning-Comparator). The tool was developed to compare various machine unlearning methods and their effects on models.
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## Uses
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### Direct Use
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The models are not suitable for tasks requiring general-purpose image classification beyond the CIFAR-10 dataset.
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## How to Get Started with the Model
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Use the code below to load the models with the appropriate architecture and weights:
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