t

app.py

@@ -10,7 +10,9 @@ import gradio as gr
 ex=None
 try:
     from transformers import AutoModelForCausalLM, AutoTokenizer
-    tokenizer = AutoTokenizer.from_pretrained("huggingface/EleutherAI/gpt-j-6B")
+    tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-j-6B")
+    
+    # "EluttherAI" on this line and for the next occurence only
     # tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-j-6B")
     # model = AutoModelForCausalLM.from_pretrained("EleutherAI/gpt-j-6B")
 except Exception as e:
@@ -20,7 +22,7 @@ def f(text):
     try:
         if ex:
             raise Exception("err from transformers import: \n"+str(ex))
-        model = AutoModelForCausalLM.from_pretrained("huggingface/EleutherAI/gpt-j-6B")
+        model = AutoModelForCausalLM.from_pretrained("EleutherAI/gpt-j-6B")
         default_do_sample = False #True (default is True)
         input_ids = tokenizer(text, return_tensors="pt").input_ids
         gen_tokens = model.generate(input_ids, do_sample=default_do_sample, temperature=0.9, max_length=30)