Update pipeline.py

pipeline.py

@@ -10,9 +10,8 @@ device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
 class PreTrainedPipeline():
     def __init__(self, path=""):
         # load the optimized model
-        self.model_path = os.path.join(path, '.')
-        self.tokenizer = AutoTokenizer.from_pretrained(self.model_path)
-        self.model = AutoModel.from_pretrained(self.model_path)
+        self.tokenizer = AutoTokenizer.from_pretrained(path)
+        self.model = AutoModel.from_pretrained(path)
         self.model.eval()
         self.model = self.model.to(device)