Update app.py

app.py

@@ -6,7 +6,7 @@ import torch
 import torch.nn as nn
 from transformers.activations import get_activation
 from transformers import AutoTokenizer, AutoModelWithLMHead, AutoModelForCausalLM
-
+from transformers import XGLMTokenizer, XGLMForCausalLM
 st.title('GPT2: To see all prompt outlines: https://huggingface.co/BigSalmon/InformalToFormalLincoln46')
 #device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 number_of_outputs = st.sidebar.slider("Number of Outputs", 50, 350)
@@ -37,8 +37,10 @@ def get_model():
     #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln46")
     #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln52")
     #model = AutoModelForCausalLM.from_pretrained("BigSalmon/Points4")
-    tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln56")
-    model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln56")
+    #tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln56")
+    #model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln56")
+    tokenizer = XGLMTokenizer.from_pretrained("facebook/xglm-564M")
+    model = XGLMForCausalLM.from_pretrained("facebook/xglm-564M")
     return model, tokenizer
     
 model, tokenizer = get_model()