add custom handler

handler.py

@@ -1,16 +1,14 @@
 from typing import Dict, List, Any
-from transformers import AutoTokenizer
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
 
 
 class EndpointHandler:
     def __init__(self,
-                 model,
-                 # path=""
+                 path="BashirRP/llm_judge2"
                  ):
         # Preload all the elements you are going to need at inference.
         # pseudo:
-        # self.model= load_model(path)
-        self.model = model
+        self.model = AutoModelForSequenceClassification.from_pretrained(path)
         self.tokenizer = AutoTokenizer.from_pretrained("roberta-large", padding_side='right')
 
     def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]: