fix: torch dtype while loading the model

utils/embedding_utils.py

@@ -17,7 +17,7 @@ class ColPaliEmbeddingGenerator:
 
         self.model = ColIdefics3.from_pretrained(
             model_name,
-            dtype=torch.bfloat16 if self.device != "cpu" else torch.float32,
+            torch_dtype=torch.bfloat16 if self.device != "cpu" else torch.float32,
             device_map=self.device,
         ).eval()