Upload 2 files

input.txt

@@ -0,0 +1,2 @@
+Olá o meu Nome é Rúben, e o teu qual é?
+Olá meu nome é Rubens, e seu qual é?

model.py

@@ -33,22 +33,24 @@ class Ensembler(torch.nn.Module):
     def forward(self, input_ids, attention_mask):
         outputs = []
 
-        for domain in ['politics', 'news', 'law', 'social_media', 'literature', 'web']:
-            specialist = LanguageIdentifier()
-            
-            specialist.load_state_dict(torch.load(f"models/{domain}.pt", map_location=self.device))
-            
-            specialist.eval()
-
-            specialist.to(self.device)
-
-            outputs.append(specialist(input_ids, attention_mask))
-
-            # Remove the specialist from the GPU
-            specialist.cpu()
-            del specialist
-            
-            
-        outputs = torch.cat(outputs, dim=1)
-
-        return torch.mean(outputs, dim=1).unsqueeze(1)
+        with torch.no_grad():
+            for domain in ['politics', 'news', 'law', 'social_media', 'literature', 'web']:
+                specialist = LanguageIdentifier()
+                
+                specialist.load_state_dict(torch.load(f"{domain}.pt", map_location=self.device))
+                
+                specialist.eval()
+
+                specialist.to(self.device)
+
+                outputs.append(specialist(input_ids, attention_mask))
+
+                # Remove the specialist from the GPU
+                specialist.cpu()
+                del specialist
+                torch.cuda.empty_cache()
+                
+                
+            outputs = torch.cat(outputs, dim=1)
+
+            return torch.mean(outputs, dim=1).unsqueeze(1)