Downloads · 30 days
5
16% of all-time downloads
resnet18_MNIST_fedavg_round_35
YusufBayram-Personal/resnet18_MNIST_fedavg_round_35
resnet18_MNIST_fedavg_round_35 is a machine learning model from YusufBayram-Personal. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
- Architecture: resnet18 - Dataset: MNIST - Training Strategy: fedavg - Round: 35 - Number of Classes: 10
All-time downloads
31
Public
Repo size
44.8 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin44.8 MB · 100%
At a glance
- Access
- Public
- Created
- Jan 2, 2026
- Updated
- Jan 2, 2026
- SHA
- ed51b40a
Datasets
Model card
From the Hugging Face model README
resnet18 - Federated Learning Round 35
Model Details
- Architecture: resnet18
- Dataset: MNIST
- Training Strategy: fedavg
- Round: 35
- Number of Classes: 10
Training Information
This model was trained using federated learning with the fedavg aggregation strategy.
Usage
import torch
model = torch.load("pytorch_model.bin")
model.eval()
- Created
- Jan 2, 2026
- Updated
- Jan 2, 2026