Use m2m100_12B

app.py

@@ -124,7 +124,7 @@ lang_id = {
 
 @st.cache(suppress_st_warning=True, allow_output_mutation=True)
 def load_model(
-    pretrained_model: str = "facebook/m2m100_418M",
+    pretrained_model: str = "tamedai/m2m100_12B",
     cache_dir: str = "models/",
 ):
     tokenizer = M2M100Tokenizer.from_pretrained(pretrained_model, cache_dir=cache_dir)