Update app.py

app.py

@@ -5,7 +5,7 @@ import os
 import torch
 import torch.nn as nn
 from transformers.activations import get_activation
-from transformers import AutoTokenizer, AutoModelWithLMHead
+from transformers import AutoTokenizer, AutoModelForCausalLM
 
 
 st.title('GPT2:')
@@ -16,13 +16,13 @@ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 def get_model():
 
     #tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln31")
-    #model = AutoModelWithLMHead.from_pretrained("BigSalmon/InformalToFormalLincoln31")
+    #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln31")
     
     #tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln21")
-    #model = AutoModelWithLMHead.from_pretrained("BigSalmon/InformalToFormalLincoln21")
+    #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln21")
     
     tokenizer = AutoTokenizer.from_pretrained("BigSalmon/PointsOneSent")
-    model = AutoModelWithLMHead.from_pretrained("BigSalmon/PointsOneSent")
+    model = AutoModelForCausalLM.from_pretrained("BigSalmon/PointsOneSent")
     return model, tokenizer
     
 model, tokenizer = get_model()