Update level_classifier_tool_2.py

level_classifier_tool_2.py

@@ -53,21 +53,7 @@ class HFEmbeddingBackend:
         # Load tokenizer/model with eager attention
         self.TOK = AutoTokenizer.from_pretrained(self.model_name)
         self.MODEL = AutoModel.from_pretrained(self.model_name, attn_implementation="eager")
-    
-        # Keep eager; DO NOT set sliding_window=None (Gemma-3 expects an int in mask math)
-        try:
-            self.MODEL.config.attn_implementation = "eager"
-    
-            # If you want to effectively disable sliding attention, make it 0 (int), not None
-            if hasattr(self.MODEL.config, "sliding_window"):
-                self.MODEL.config.sliding_window = 0
-    
-            gen_cfg = getattr(self.MODEL, "generation_config", None)
-            if gen_cfg is not None and hasattr(gen_cfg, "sliding_window"):
-                gen_cfg.sliding_window = 0
-        except Exception:
-            pass
-    
+
         self.MODEL.to(self.device).eval()
 
     def encode(self, texts: Iterable[str], batch_size: int = 32) -> "Tuple[torch.Tensor, List[str]]":