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README.md

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-tags:
-- model_hub_mixin
-- pytorch_model_hub_mixin
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+# CIFAR-10 CNN Model
 
-This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
-- Code: [More Information Needed]
-- Paper: [More Information Needed]
-- Docs: [More Information Needed]
+This is a convolutional neural network trained on the CIFAR-10 dataset, achieving 92.59% test accuracy after 100 epochs.
+## Model Details
+- Architecture: 9 convolutional layers with batch normalization, max pooling, and dropout, followed by 3 fully connected layers.
+- Dataset: CIFAR-10 (10 classes: airplane, automobile, bird, cat, deer, dog, frog, horse, ship, truck).
+- Training: 100 epochs, SGD optimizer, CrossEntropyLoss, learning rate scheduling.
+## Usage
+Load the model using:
+```python
+from huggingface_hub import from_pretrained_pytorch
+model = from_pretrained_pytorch('chandu1617/CIFAR10-CNN_Model')
+```