add reuse instruction

README.md

@@ -20,6 +20,20 @@ Samples sizes:
 - Validation: 1,186 slides (955 patients)
 - Test: 1,163 slides (955 patients)
 
+## Reusing this model
+
+To use this model on the command line, see [WSInfer-MIL](https://github.com/kaczmarj/wsinfer-mil).
+
+Alternatively, you may use PyTorch on ONNX to run the model. First, embed 128um x 128um patches using CTransPath. Then pass the bag of embeddings to the model.
+
+```python
+import onnxruntime as ort
+import numpy as np
+embedding = np.ones((1_000, 768), dtype="float32")
+ort_sess = ort.InferenceSession("model.onnx")
+logits, attention = ort_sess.run(["logits", "attention"], {'input': embedding})
+```
+
 ## Model performance
 
 The model achieved a weighted average AUROC of 0.99 (one-vs-rest).