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README.md

@@ -10,8 +10,31 @@ tags:
 - smoke-test
 ---
 
-# Tiny TorchScript for smoke tests
+# Tiny TorchScript CNN
 
-Minimal CNN traced to TorchScript for pipeline validation (no conversion on server).
-Inputs: `[1,3,224,224]` float32. Outputs: `[1,10]` logits.
+Minimal CNN traced to TorchScript for pipeline validation and testing.
 
+## Model Details
+- **Architecture**: Simple 3-layer CNN (TinyCNN)
+- **Input**: `[1, 3, 224, 224]` float32 tensor (RGB image)
+- **Output**: `[1, 10]` logits (10 classes)
+- **Format**: TorchScript (traced)
+
+## Usage
+```python
+import torch
+from huggingface_hub import hf_hub_download
+
+# Download and load
+model_path = hf_hub_download("Khauneesh/tiny-cnn-torchscript", "model.pt")
+model = torch.jit.load(model_path, map_location="cpu")
+model.eval()
+
+# Inference
+x = torch.randn(1, 3, 224, 224)
+with torch.no_grad():
+    logits = model(x)
+```
+
+## Testing
+This model is designed for smoke testing TorchScript deployment pipelines.