Load dolly-v2 model with remote code trusted and full text returned (so it's usable with langchain)

handler.py

@@ -0,0 +1,30 @@
+import torch
+from typing import Dict, Any, List
+
+from transformers import pipeline
+
+
+class EndpointHandler:
+    def __init__(
+            self,
+            path: str,
+    ) -> None:
+        self.pipeline = pipeline(model=path, torch_dtype=torch.bfloat16, trust_remote_code=True, return_full_text=True)
+
+    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
+        """
+        data args:
+            inputs (:obj: `str`)
+        Return:
+            A :obj:`list` | `dict`: will be serialized and returned
+        """
+        inputs = data.pop("inputs", data)
+        parameters = data.pop("parameters", None)
+
+        # pass inputs with all kwargs in data
+        if parameters is not None:
+            prediction = self.pipeline(inputs, **parameters)
+        else:
+            prediction = self.pipeline(inputs)
+        # postprocess the prediction
+        return prediction