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resnet18_CIFAR-10_norm_clipping_round_2
YusufBayram-Personal/resnet18_CIFAR-10_norm_clipping_round_2
resnet18_CIFAR-10_norm_clipping_round_2 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: CIFAR-10 - Training Strategy: normclipping - Round: 2 - Number of Classes: 10
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At a glance
- Access
- Public
- Created
- Dec 16, 2025
- Updated
- Dec 16, 2025
- SHA
- bf6cc54c
Datasets
Model card
From the Hugging Face model README
resnet18 - Federated Learning Round 2
Model Details
- Architecture: resnet18
- Dataset: CIFAR-10
- Training Strategy: norm_clipping
- Round: 2
- Number of Classes: 10
Training Information
This model was trained using federated learning with the norm_clipping aggregation strategy.
Usage
import torch
model = torch.load("pytorch_model.bin")
model.eval()
- Created
- Dec 16, 2025
- Updated
- Dec 16, 2025