Add usage instructions

USAGE.md

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+# Model Usage Instructions
+
+## Loading the Model
+
+```python
+import torch
+from pathlib import Path
+
+# Load the main LAM model (14GB)
+model_path = "model_weights/lam_model.pt"
+model = torch.load(model_path, map_location='cuda' if torch.cuda.is_available() else 'cpu')
+
+# Or load the smaller checkpoint
+checkpoint = torch.load("checkpoints/best.pt")
+```
+
+## Model Files
+
+- `model_weights/lam_model.pt` - Main unified model (14GB)
+- `checkpoints/best.pt` - Best training checkpoint (6MB)
+- `model_weights/sample_vision_weights.pt` - Vision module weights
+- `model_weights/config.json` - Model configuration
+- `model_weights/capabilities.json` - Model capabilities definition
+
+## Requirements
+
+```bash
+pip install torch torchvision transformers pillow
+```
+
+## Inference Example
+
+```python
+# Coming soon - full inference pipeline
+```