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cnn_transfer
abir-hr196/cnn_transfer
cnn_transfer is a machine learning model from abir-hr196. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This is a Convolutional Neural Network (CNN) trained on the MNIST dataset.
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Public
Updated Jun 10, 2025
Repo size
1.8 GB
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.bin1.7 GB · 96%
At a glance
- Access
- Public
- Created
- May 29, 2025
- Updated
- Jun 10, 2025
- SHA
- d53d5607
Model card
From the Hugging Face model README
MNIST CNN Model
This is a Convolutional Neural Network (CNN) trained on the MNIST dataset.
Model Details
- Architecture: CNN
- Dataset: MNIST
- Epochs: 10
- Batch Size: 128
- Learning Rate: 0.0003
- Random Seed: 42
- Best Validation Accuracy: 99.12%
How to Use
import torch
# Define your MNISTCNN class here or import it
# model = MNISTCNN()
# model.load_state_dict(torch.load('pytorch_model.bin', map_location='cpu'))
# model.eval()
- Created
- May 29, 2025
- Updated
- Jun 10, 2025