back m2m100_1.2B due to memory litmit

app.py

@@ -1,17 +1,17 @@
-# Based on example code of https://huggingface.co/facebook/m2m100-12B-avg-5-ckpt
+# Based on example code of https://huggingface.co/facebook/m2m100_1.2B
 
 
 import gradio as gr
 from transformers import M2M100ForConditionalGeneration, M2M100Tokenizer
 
 model = M2M100ForConditionalGeneration.from_pretrained(
-    "facebook/m2m100-12B-avg-5-ckpt")
+    "facebook/m2m100_1.2B")
 
-tokenizer = M2M100Tokenizer.from_pretrained("facebook/m2m100-12B-avg-5-ckpt")
+tokenizer = M2M100Tokenizer.from_pretrained("facebook/m2m100_1.2B")
 
 
 this_description = '''
-Using facebook/m2m100-12B-avg-5-ckpt pre-trained model.
+Using facebook/m2m100_1.2B pre-trained model.
 
 Chinese(zh)
 English(en)
@@ -24,7 +24,7 @@ Vietnamese(vi)
 
 '''
 
-# From facebook/m2m100-12B-avg-5-ckpt
+# From facebook/m2m100_1.2B
 lang_codes = {
     "Afrikaans": "af",
     "Amharic": "am",