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add demo link

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  This model was fine-tuned on `resnet18` for 10 epochs using training data described in [this blogpost](https://mlops.systems/fastai/redactionmodel/computervision/datalabelling/2021/09/06/redaction-classification-chapter-2.html). The model was trained using the [fastai](https://github.com/fastai/fastai) library.
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  ## Model performance
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- The model achieved around 96% accuracy on a held-out validation dataset.
 
 
 
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  This model was fine-tuned on `resnet18` for 10 epochs using training data described in [this blogpost](https://mlops.systems/fastai/redactionmodel/computervision/datalabelling/2021/09/06/redaction-classification-chapter-2.html). The model was trained using the [fastai](https://github.com/fastai/fastai) library.
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  ## Model performance
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+ The model achieved around 96% accuracy on a held-out validation dataset.
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+ ## Inference demonstration
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+ You can test out the model's ability to detect whether a document is redacted [here](https://huggingface.co/spaces/strickvl/fastai_redaction_classifier).