Add custom SageMaker inference script

code/inference.py

@@ -0,0 +1,22 @@
+import json
+import numpy as np
+from typing import List, Union
+
+
+def input_fn(input_data, content_type):
+    data = json.loads(input_data)
+    return data['inputs']
+
+
+def predict_fn(data: Union[List[str], str], model):
+    outputs = model(data, padding=False, truncation=True)
+    embeddings = [np.array(r[0]).mean(axis=0).tolist() for r in outputs]
+    return embeddings
+
+
+def output_fn(prediction, accept):
+    return json.dumps(
+        obj={
+            "outputs": prediction
+        }
+    )