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, AutoModelWithLMHead, AutoModelForCausalLM
 st.title('GPT2:')
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 @st.cache(allow_output_mutation=True)
@@ -21,8 +21,9 @@ def get_model():
     #model = AutoModelWithLMHead.from_pretrained("BigSalmon/InformalToFormalLincoln26")
     #model = AutoModelWithLMHead.from_pretrained("BigSalmon/InformalToFormalLincoln27")
     #model = AutoModelWithLMHead.from_pretrained("BigSalmon/InformalToFormalLincoln28")
+    #model = AutoModelWithLMHead.from_pretrained("BigSalmon/InformalToFormalLincoln29")
     tokenizer = AutoTokenizer.from_pretrained("BigSalmon/GPTNeo350MInformalToFormalLincoln")
-    model = AutoModelWithLMHead.from_pretrained("BigSalmon/InformalToFormalLincoln29")
+    model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln30")
     model.to(device)
     return model, tokenizer