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:')
@@ -15,7 +15,7 @@ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 @st.cache(allow_output_mutation=True)
 def get_model():
     tokenizer = AutoTokenizer.from_pretrained("BigSalmon/MASKGPT2")
-    model = AutoModelWithLMHead.from_pretrained("BigSalmon/MASKGPT2")
+    model = AutoModelForCausalLM.from_pretrained("BigSalmon/MASKGPT2")
     return model, tokenizer
     
 model, tokenizer = get_model()