Upload model.py

model.py

@@ -0,0 +1,35 @@
+import torch
+from transformers import BertModel
+
+class Ensembler(torch.nn.Module):
+    def __init__(self, specialists):
+        super().__init__()
+
+        self.specialists = specialists
+
+    def forward(self, input_ids, attention_mask):
+        outputs = torch.cat([specialist(input_ids, attention_mask)
+                             for specialist in self.specialists], dim=1)
+
+        return torch.mean(outputs, dim=1).unsqueeze(1)
+        
+
+class LanguageIdentifier(torch.nn.Module):
+    def __init__(self):
+        super().__init__()
+        
+        self.portuguese_bert = BertModel.from_pretrained("neuralmind/bert-large-portuguese-cased")
+        
+        self.linear_layer = torch.nn.Sequential(
+            torch.nn.Dropout(p=0.2),
+            torch.nn.Linear(self.portuguese_bert.config.hidden_size, 1),
+        )
+
+    def forward(self, input_ids, attention_mask):
+        
+        #(Batch_Size,Sequence Length, Hidden_Size)
+        outputs = self.portuguese_bert(input_ids=input_ids, attention_mask=attention_mask).last_hidden_state[:, 0, :]
+        
+        outputs = self.linear_layer(outputs)
+
+        return outputs