Upload handler.py

handler.py

@@ -0,0 +1,20 @@
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from typing import Dict, List, Any
+
+
+class EndpointHandler():
+    def __init__(self, path=""):
+        self.model = AutoModelForCausalLM.from_pretrained(path,
+                                                          trust_remote_code=True)
+        self.tokenizer = AutoTokenizer.from_pretrained(path)
+
+    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
+        input_text = data.pop("inputs", data)
+        inputs = self.tokenizer(input_text,
+                                return_tensors="pt")
+        input_ids = inputs.input_ids
+        attention_mask = inputs.attention_mask
+        score = self.model(input_ids=input_ids,
+                           attention_mask=attention_mask,
+                           labels=input_ids).loss.item()
+        return score