Instructions to use strickvl/redaction-classifier-fastai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use strickvl/redaction-classifier-fastai with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("strickvl/redaction-classifier-fastai") - Notebooks
- Google Colab
- Kaggle
| tags: | |
| - fastai | |
| # Model card | |
| ## Model description | |
| 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. | |
| ## Model performance | |
| The model achieved around 96% accuracy on a held-out validation dataset. | |
| ## Inference demonstration | |
| You can test out the model's ability to detect whether a document is redacted [here](https://huggingface.co/spaces/strickvl/fastai_redaction_classifier). |