up

handler.py

@@ -5,10 +5,8 @@ import torch
 class EndpointHandler:
     def __init__(self, path=""):
         # load model and processor from path
-        self.processor = AutoProcessor.from_pretrained(path)
-        self.model = MusicgenForConditionalGeneration.from_pretrained(path)
-        # self.model =  AutoModelForSeq2SeqLM.from_pretrained(path, device_map="auto", load_in_8bit=True)
-        # self.tokenizer = AutoTokenizer.from_pretrained(path)
+        self.processor = AutoProcessor.from_pretrained("facebook/musicgen-small")
+        self.model = MusicgenForConditionalGeneration.from_pretrained("facebook/musicgen-small")
 
     def __call__(self, data: Dict[str, Any]) -> Dict[str, str]:
         """
@@ -21,7 +19,6 @@ class EndpointHandler:
         parameters = data.pop("parameters", None)
 
         # preprocess
-        # input_ids = self.tokenizer(inputs, return_tensors="pt").input_ids
         inputs = processor(
             text=inputs,
             padding=True,