Improve model card: Add metadata, paper/project/code links, and correct dataset usage
#1
by
nielsr
HF Staff
- opened
This PR enhances the model card for Yurim0507/resnet18-fashionmnist-unlearning
by adding essential metadata and linking it to the relevant resources.
Specifically:
- Adds
pipeline_tag: image-classification
to correctly categorize the model's primary function. - Adds
library_name: pytorch
as the model uses PyTorch. - Adds
license: apache-2.0
to clarify licensing. - Adds specific tags like
fashionmnist
,resnet
, andunlearning
for better searchability. - Explicitly links to the paper: Unlearning Comparator: A Visual Analytics System for Comparative Evaluation of Machine Unlearning Methods.
- Adds a link to the project page: https://gnueaj.github.io/Machine-Unlearning-Comparator/.
- Adds a prominent link to the GitHub repository: https://github.com/gnueaj/Machine-Unlearning-Comparator.
- Corrects the dataset mentioned in the "Uses" section from
CIFAR-10
toFashionMNIST
for accuracy. - Removes the now redundant "Related Work" section.
These improvements will make the model more discoverable and provide richer context for users on the Hugging Face Hub.