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regenerate_model.py

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+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+import pickle
+
+# SimpleClassifier 클래스 정의
+class SimpleClassifier(nn.Module):
+    def __init__(self, input_size, num_classes):
+        super(SimpleClassifier, self).__init__()
+        self.fc1 = nn.Linear(input_size, 256)
+        self.fc2 = nn.Linear(256, 128)
+        self.fc3 = nn.Linear(128, num_classes)
+        self.dropout = nn.Dropout(0.3)
+        
+    def forward(self, x):
+        x = F.relu(self.fc1(x))
+        x = self.dropout(x)
+        x = F.relu(self.fc2(x))
+        x = self.dropout(x)
+        x = self.fc3(x)
+        return x
+
+# 모델 파일 다시 생성
+with open('semantic_model.pkl', 'rb') as f:
+    data = pickle.load(f)
+
+torch.save(data['model'].state_dict(), 'pytorch_model.bin')
+print("모델 파일 재생성 완료!")

semantic_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ece66c155962546b7954bc96691a0974d54fa423a3211c112236bc230af39f37
+size 3390141