Add README model card

README.md

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-tags:
-- model_hub_mixin
-- pytorch_model_hub_mixin
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-
-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]
+# MNIST Classifier (PyTorch)
+
+## What this model does
+This repository contains a simple feed-forward neural network trained to classify MNIST handwritten digits (0–9).
+
+## Intended use
+- Educational example for saving, uploading, and reloading a PyTorch model using the Hugging Face Hub.
+- Simple baseline digit classification for MNIST-like inputs.
+
+## How to use (inference)
+```python
+import torch
+
+loaded = ClassifierHF.from_pretrained("xiaziyna/test_classifier-hf")
+loaded.eval()
+
+with torch.no_grad():
+    logits = loaded(x)
+    preds = torch.argmax(logits, dim=1)
+```
+## Training data
+MNIST handwritten digits loaded via torchvision in the tutorial notebook.
+
+## Evaluation
+Test accuracy is printed in the notebook after training and after reloading from the Hub.
+
+## Limitations
+- This model is intended for teaching purposes only.
+- Performance depends on using the same preprocessing as training.