Create README

README

@@ -0,0 +1,21 @@
+# Antibody Liability Predictor
+
+This repository contains a PyTorch neural network for predicting antibody
+developability liabilities from ESM-2 embeddings.
+
+## Model architecture
+- Input: 640-D (VH 320 + VL 320)
+- Output: 4 regression values
+- Architecture: MLP (128 → 64)
+
+## Usage
+```python
+import torch
+from model import LiabilityPredictor
+
+model = LiabilityPredictor(input_dim=640)
+model.load_state_dict(torch.load("liability_predictor.pt", map_location="cpu"))
+model.eval()
+
+# x should be shape (640,) or (batch, 640)
+y_pred = model(x)