Use the backpack model under stanfordnlp

app.py

@@ -6,7 +6,7 @@ import gradio as gr
 
 # Build model & get some layers
 tokenizer = transformers.AutoTokenizer.from_pretrained('gpt2')
-m = AutoModelForCausalLM.from_pretrained("lora-x/backpack-gpt2", trust_remote_code=True)
+m = AutoModelForCausalLM.from_pretrained("stanfordnlp/backpack-gpt2", trust_remote_code=True)
 m.eval()
 
 lm_head = m.get_lm_head() # (V, d)