Update models/LogReg.py

models/LogReg.py

@@ -6,7 +6,7 @@ from models.preprocess_stage.bert_model import preprocess_bert
 from models.preprocess_stage.bert_model import model
 
 MAX_LEN = 100  # позже добавлю способ пользователю самому выбирать масимальную длину
-DEVICE='cpu'
+# DEVICE='cpu'
 
 logreg = joblib.load('models/weights/LogRegBestWeights.sav')
 
@@ -15,7 +15,7 @@ def predict_1(text):
     preprocessed_text, attention_mask = preprocess_bert(text, MAX_LEN=MAX_LEN)
     preprocessed_text, attention_mask = torch.tensor(preprocessed_text).unsqueeze(0), torch.tensor([attention_mask])
 
-    model.to(DEVICE)
+    # model.to(DEVICE)
     with torch.inference_mode():
         vector = model(preprocessed_text, attention_mask=attention_mask)[0][:, 0, :]